diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml
index f8a8d40fb3..763cb52d0b 100644
--- a/.github/workflows/publish.yml
+++ b/.github/workflows/publish.yml
@@ -126,95 +126,83 @@ jobs:
         run: ./infra/scripts/helm/push-helm-charts.sh $VERSION_WITHOUT_PREFIX
 
   publish-python-sdk:
+    runs-on: ubuntu-latest
+    needs: [build-python-sdk, build-python-sdk-macos-py310]
+    steps:
+      - uses: actions/download-artifact@v2
+        with:
+          name: wheels
+          path: dist
+      - uses: pypa/gh-action-pypi-publish@v1.4.2
+        with:
+          user: __token__
+          password: ${{ secrets.PYPI_PASSWORD }}
+
+
+  build-python-sdk:
+    name: Build wheels on ${{ matrix.os }}
     runs-on: ${{ matrix.os }}
     strategy:
-      fail-fast: false
       matrix:
-        python-version: [ "3.7", "3.8", "3.9", "3.10" ]
-        os: [ ubuntu-latest, macOS-latest ]
-        compile-go: [ True ]
-        include:
-          - python-version: "3.7"
-            os: ubuntu-latest
-            compile-go: False
-    env:
-      TWINE_USERNAME: __token__
-      TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }}
-      COMPILE_GO: ${{ matrix.compile-go }}
+        os: [ ubuntu-latest, macos-10.15 ]
+
     steps:
       - uses: actions/checkout@v2
-      - name: Setup Python
-        id: setup-python
-        uses: actions/setup-python@v2
+
+      - name: Build wheels
+        uses: pypa/cibuildwheel@v2.4.0
         with:
-          python-version: ${{ matrix.python-version }}
-          architecture: x64
-      - name: Setup Go
-        id: setup-go
-        uses: actions/setup-go@v2
+          package-dir: sdk/python
+        env:
+          CIBW_BUILD: "cp3*_x86_64"
+          CIBW_SKIP: "cp36-* *-musllinux_x86_64 cp310-macosx_x86_64"
+          CIBW_ARCHS: "native"
+          CIBW_ENVIRONMENT: >
+            COMPILE_GO=True
+          CIBW_BEFORE_ALL_LINUX: |
+            yum install -y golang
+          CIBW_BEFORE_ALL_MACOS: |
+            curl -o python.pkg https://www.python.org/ftp/python/3.9.12/python-3.9.12-macosx10.9.pkg
+            sudo installer -pkg python.pkg -target /
+          CIBW_BEFORE_BUILD: |
+            make install-protoc-dependencies
+            make install-go-proto-dependencies
+            make install-go-ci-dependencies
+
+      - uses: actions/upload-artifact@v2
         with:
-          go-version: 1.17.7
-      - name: Upgrade pip version
-        run: |
-          pip install --upgrade "pip>=21.3.1"
-      - name: Install pip-tools
-        run: pip install pip-tools
-      - name: Install dependencies
-        run: make install-python-ci-dependencies PYTHON=${{ matrix.python-version }}
-      - name: Publish Python Package
-        run: |
-          cd sdk/python
-          python3 -m pip install --user --upgrade setuptools wheel twine
-          python3 setup.py sdist bdist_wheel
-          python3 -m twine upload --verbose dist/*.whl
+          name: wheels
+          path: ./wheelhouse/*.whl
 
-  publish-python-sdk-no-telemetry:
-    runs-on: ${{ matrix.os }}
-    strategy:
-      fail-fast: false
-      matrix:
-        python-version: [ "3.7", "3.8", "3.9", "3.10" ]
-        os: [ ubuntu-latest, macOS-latest ]
-        compile-go: [ True ]
-        include:
-          - python-version: "3.7"
-            os: ubuntu-latest
-            compile-go: False
-    needs: get-version
+
+  build-python-sdk-macos-py310:
+    runs-on: macos-10.15
     env:
-      TWINE_USERNAME: __token__
-      TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }}
-      COMPILE_GO: ${{ matrix.compile-go }}
+      COMPILE_GO: True
     steps:
       - uses: actions/checkout@v2
       - name: Setup Python
         id: setup-python
         uses: actions/setup-python@v2
         with:
-          python-version: ${{ matrix.python-version }}
+          python-version: "3.10"
           architecture: x64
-      - name: Setup Go
-        id: setup-go
-        uses: actions/setup-go@v2
-        with:
-          go-version: 1.17.7
-      - name: Upgrade pip version
-        run: |
-          pip install --upgrade "pip>=21.3.1"
-      - name: Install pip-tools
-        run: pip install pip-tools
       - name: Install dependencies
-        run: make install-python-ci-dependencies PYTHON=${{ matrix.python-version }}
-      - name: Publish Python Package
-        env:
-          SETUPTOOLS_SCM_PRETEND_VERSION: ${{ needs.get-version.outputs.version_without_prefix }}
+        run: |
+          pip install -U pip setuptools wheel twine
+          make install-protoc-dependencies
+          make install-go-proto-dependencies
+          make install-go-ci-dependencies
+      - name: Build
         run: |
           cd sdk/python
-          sed -i 's/DEFAULT_FEAST_USAGE_VALUE = "True"/DEFAULT_FEAST_USAGE_VALUE = "False"/g' feast/constants.py
-          sed -i 's/NAME = "feast"/NAME = "feast-no-telemetry"/g' setup.py
-          python3 -m pip install --user --upgrade setuptools wheel twine
           python3 setup.py sdist bdist_wheel
-          python3 -m twine upload --verbose dist/*.whl
+
+      - uses: actions/upload-artifact@v2
+        with:
+          name: wheels
+          path: sdk/python/dist/*
+
 
   publish-java-sdk:
     container: maven:3.6-jdk-11
@@ -268,6 +256,7 @@ jobs:
         working-directory: ./ui
         run: yarn build:lib
       - name: Publish UI package
+        working-directory: ./ui
         run: npm publish
         env:
           NODE_AUTH_TOKEN: ${{secrets.NPM_TOKEN}}
diff --git a/.releaserc.js b/.releaserc.js
index 8cdcc1f277..2acf9b7350 100644
--- a/.releaserc.js
+++ b/.releaserc.js
@@ -57,7 +57,8 @@ module.exports = {
                 assets: [
                     "CHANGELOG.md",
                     "java/pom.xml",
-                    "infra/charts/**/*.*"
+                    "infra/charts/**/*.*",
+                    "ui/package.json"
                 ],
                 message: "chore(release): release ${nextRelease.version}\n\n${nextRelease.notes}"
             }
diff --git a/CHANGELOG.md b/CHANGELOG.md
index bcb6f8cde3..5c40558e1c 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,24 @@
 # Changelog
 
+## [0.20.1](https://github.com/feast-dev/feast/compare/v0.20.0...v0.20.1) (2022-04-20)
+
+
+### Bug Fixes
+
+* Addresses ZeroDivisionError when materializing file source with same timestamps ([#2551](https://github.com/feast-dev/feast/issues/2551)) ([5539c51](https://github.com/feast-dev/feast/commit/5539c51646d3d2150df7476aa5ac9d075998b235))
+* Build platform specific python packages with ci-build-wheel ([#2555](https://github.com/feast-dev/feast/issues/2555)) ([1757639](https://github.com/feast-dev/feast/commit/17576396980a02e6ad7d70d69367df0823ef5408))
+* Enforce kw args featureservice ([#2575](https://github.com/feast-dev/feast/issues/2575)) ([4dce254](https://github.com/feast-dev/feast/commit/4dce254dc8c4f7de0c6005907ceba53b44f264ce))
+* Enforce kw args in datasources ([#2567](https://github.com/feast-dev/feast/issues/2567)) ([6374634](https://github.com/feast-dev/feast/commit/6374634c35b3820c4ed12edc7b2e70a9c561bfe5))
+* Fix `__hash__` methods ([#2556](https://github.com/feast-dev/feast/issues/2556)) ([dd8b854](https://github.com/feast-dev/feast/commit/dd8b8546fce90fab099cab71ab318681c3a0c998))
+* Fix DynamoDB fetches when there are entities that are not found ([#2573](https://github.com/feast-dev/feast/issues/2573)) ([882328f](https://github.com/feast-dev/feast/commit/882328f9b6da45a310916e5af23e0926b4186a85))
+* Fix push sources and add docs / tests pushing via the python feature server ([#2561](https://github.com/feast-dev/feast/issues/2561)) ([c5006c2](https://github.com/feast-dev/feast/commit/c5006c2cf47fd489d8f740d300f06b8fab387148))
+* Fixed data mapping errors for Snowflake ([#2558](https://github.com/feast-dev/feast/issues/2558)) ([abd6be7](https://github.com/feast-dev/feast/commit/abd6be73ec0b795e1ea043d9db2744156f04c5d3))
+* Small typo in CLI ([#2578](https://github.com/feast-dev/feast/issues/2578)) ([8717bc8](https://github.com/feast-dev/feast/commit/8717bc8c19be13158eb7c3de42d38383803195b9))
+* Switch from `join_key` to `join_keys` in tests and docs ([#2580](https://github.com/feast-dev/feast/issues/2580)) ([6130b80](https://github.com/feast-dev/feast/commit/6130b80f64b0952ed209213a371d959f41b9a350))
+* Update build_go_protos to use a consistent python path ([#2550](https://github.com/feast-dev/feast/issues/2550)) ([1c523bf](https://github.com/feast-dev/feast/commit/1c523bf8acd1d554efa4b6211420185f2b66ec36))
+* Update RedisCluster to use redis-py official implementation ([#2554](https://github.com/feast-dev/feast/issues/2554)) ([c47fa2a](https://github.com/feast-dev/feast/commit/c47fa2a58ddaee892095b867a022cfcf236ff7c1))
+* Use cwd when getting module path ([#2577](https://github.com/feast-dev/feast/issues/2577)) ([28752f2](https://github.com/feast-dev/feast/commit/28752f23a365716d98b9266d449ee0aa0572165f))
+
 # [0.20.0](https://github.com/feast-dev/feast/compare/v0.19.0...v0.20.0) (2022-04-14)
 
 
diff --git a/Makefile b/Makefile
index 4d961a0472..41041d7c08 100644
--- a/Makefile
+++ b/Makefile
@@ -145,15 +145,15 @@ install-go-ci-dependencies:
 	go get github.com/go-python/gopy
 	go install golang.org/x/tools/cmd/goimports
 	go install github.com/go-python/gopy
+	python -m pip install pybindgen==0.22.0
 
 install-protoc-dependencies:
-	pip install grpcio-tools==1.34.0
+	pip install grpcio-tools==1.44.0 mypy-protobuf==3.1.0
 
 compile-protos-go: install-go-proto-dependencies install-protoc-dependencies
 	cd sdk/python && python setup.py build_go_protos
 
 compile-go-lib: install-go-proto-dependencies install-go-ci-dependencies
-	python -m pip install pybindgen==0.22.0
 	cd sdk/python && python setup.py build_go_lib
 
 # Needs feast package to setup the feature store
diff --git a/README.md b/README.md
index b0cc61c91d..af4df06175 100644
--- a/README.md
+++ b/README.md
@@ -148,7 +148,7 @@ The list below contains the functionality that contributors are planning to deve
   * [x] [Hive (community plugin)](https://github.com/baineng/feast-hive)
   * [x] [Postgres (community plugin)](https://github.com/nossrannug/feast-postgres)
   * [x] [Spark (community plugin)](https://docs.feast.dev/reference/data-sources/spark)
-  * [x] Kafka / Kinesis sources (via [push support into the online store](https://docs.feast.dev/reference/data-sources/push)
+  * [x] Kafka / Kinesis sources (via [push support into the online store](https://docs.feast.dev/reference/data-sources/push))
   * [ ] HTTP source
 * **Offline Stores**
   * [x] [Snowflake](https://docs.feast.dev/reference/offline-stores/snowflake)
diff --git a/docs/SUMMARY.md b/docs/SUMMARY.md
index e73996665e..11e20ab831 100644
--- a/docs/SUMMARY.md
+++ b/docs/SUMMARY.md
@@ -81,11 +81,10 @@
   * [feature\_store.yaml](reference/feature-repository/feature-store-yaml.md)
   * [.feastignore](reference/feature-repository/feast-ignore.md)
 * [Feature servers](reference/feature-servers/README.md)
-  * [Local feature server](reference/feature-servers/local-feature-server.md)
+  * [Python feature server](reference/feature-servers/python-feature-server.md)
   * [Go-based feature retrieval](reference/feature-servers/go-feature-retrieval.md)
 * [\[Alpha\] Data quality monitoring](reference/dqm.md)
 * [\[Alpha\] On demand feature view](reference/alpha-on-demand-feature-view.md)
-* [\[Alpha\] Stream ingestion](reference/alpha-stream-ingestion.md)
 * [\[Alpha\] AWS Lambda feature server](reference/alpha-aws-lambda-feature-server.md)
 * [Feast CLI reference](reference/feast-cli-commands.md)
 * [Python API reference](http://rtd.feast.dev)
diff --git a/docs/getting-started/concepts/entity.md b/docs/getting-started/concepts/entity.md
index bc8aa2ac99..77cfc0aff2 100644
--- a/docs/getting-started/concepts/entity.md
+++ b/docs/getting-started/concepts/entity.md
@@ -3,7 +3,7 @@
 An entity is a collection of semantically related features. Users define entities to map to the domain of their use case. For example, a ride-hailing service could have customers and drivers as their entities, which group related features that correspond to these customers and drivers.
 
 ```python
-driver = Entity(name='driver', value_type=ValueType.STRING, join_key='driver_id')
+driver = Entity(name='driver', value_type=ValueType.STRING, join_keys=['driver_id'])
 ```
 
 Entities are typically defined as part of feature views. Entity name is used to reference the entity from a feature view definition and join key is used to identify the physical primary key on which feature values should be stored and retrieved. These keys are used during the lookup of feature values from the online store and the join process in point-in-time joins. It is possible to define composite entities \(more than one entity object\) in a feature view. It is also possible for feature views to have zero entities. See [feature view](feature-view.md) for more details.
diff --git a/docs/getting-started/concepts/feature-view.md b/docs/getting-started/concepts/feature-view.md
index 80fd803d1f..e3decf39c9 100644
--- a/docs/getting-started/concepts/feature-view.md
+++ b/docs/getting-started/concepts/feature-view.md
@@ -79,7 +79,7 @@ It is suggested that you dynamically specify the new FeatureView name using `.wi
 from feast import BigQuerySource, Entity, FeatureView, Field, ValueType
 from feast.types import Int32
 
-location = Entity(name="location", join_key="location_id", value_type=ValueType.INT64)
+location = Entity(name="location", join_keys=["location_id"], value_type=ValueType.INT64)
 
 location_stats_fv= FeatureView(
     name="location_stats",
diff --git a/docs/getting-started/faq.md b/docs/getting-started/faq.md
index ebae912962..21bad82312 100644
--- a/docs/getting-started/faq.md
+++ b/docs/getting-started/faq.md
@@ -3,7 +3,7 @@
 {% hint style="info" %}
 **Don't see your question?**
 
-We encourage you to ask questions on [Slack](https://slack.feast.dev) or [Github](https://github.com/feast-dev/feast). Even better, once you get an answer, add the answer to this FAQ via a [pull request](../project/development-guide.md)!
+We encourage you to ask questions on [Slack](https://slack.feast.dev) or [GitHub](https://github.com/feast-dev/feast). Even better, once you get an answer, add the answer to this FAQ via a [pull request](../project/development-guide.md)!
 {% endhint %}
 
 ## Getting started
@@ -38,7 +38,7 @@ Feast currently does not support any access control other than the access contro
 
 ### Does Feast support streaming sources?
 
-Yes. In earlier versions of Feast, we used Feast Spark to manage ingestion from stream sources. In the current version of Feast, we support [push based ingestion](../reference/alpha-stream-ingestion.md).
+Yes. In earlier versions of Feast, we used Feast Spark to manage ingestion from stream sources. In the current version of Feast, we support [push based ingestion](../reference/data-sources/push.md).
 
 ### Does Feast support composite keys?
 
@@ -83,7 +83,7 @@ Yes. For example, the Postgres [connector](https://github.com/nossrannug/feast-p
 
 Yes. There are two ways to use S3 in Feast:
 
-* Using Redshift as a data source via Spectrum ([AWS tutorial](https://docs.aws.amazon.com/redshift/latest/dg/tutorial-nested-data-create-table.html)), and then continuing with the [Running Feast with GCP/AWS](../how-to-guides/feast-gcp-aws/) guide. See a [presentation](https://youtu.be/pMFbRJ7AnBk?t=9463) we did on this at our apply() meetup.
+* Using Redshift as a data source via Spectrum ([AWS tutorial](https://docs.aws.amazon.com/redshift/latest/dg/tutorial-nested-data-create-table.html)), and then continuing with the [Running Feast with Snowflake/GCP/AWS](../how-to-guides/feast-snowflake-gcp-aws/) guide. See a [presentation](https://youtu.be/pMFbRJ7AnBk?t=9463) we did on this at our apply() meetup.
 * Using the `s3_endpoint_override` in a `FileSource` data source. This endpoint is more suitable for quick proof of concepts that won't necessarily scale for production use cases.
 
 ### How can I use Spark with Feast?
diff --git a/docs/getting-started/quickstart.md b/docs/getting-started/quickstart.md
index b188e0189d..e9a294d5fc 100644
--- a/docs/getting-started/quickstart.md
+++ b/docs/getting-started/quickstart.md
@@ -98,7 +98,7 @@ driver_hourly_stats = FileSource(
 # fetch features.
 # Entity has a name used for later reference (in a feature view, eg)
 # and join_key to identify physical field name used in storages
-driver = Entity(name="driver", value_type=ValueType.INT64, join_key="driver_id", description="driver id",)
+driver = Entity(name="driver", value_type=ValueType.INT64, join_keys=["driver_id"], description="driver id",)
 
 # Our parquet files contain sample data that includes a driver_id column, timestamps and
 # three feature column. Here we define a Feature View that will allow us to serve this
@@ -168,7 +168,7 @@ driver_hourly_stats = FileSource(
 # fetch features.
 # Entity has a name used for later reference (in a feature view, eg)
 # and join_key to identify physical field name used in storages
-driver = Entity(name="driver", value_type=ValueType.INT64, join_key="driver_id", description="driver id",)
+driver = Entity(name="driver", value_type=ValueType.INT64, join_keys=["driver_id"], description="driver id",)
 
 # Our parquet files contain sample data that includes a driver_id column, timestamps and
 # three feature column. Here we define a Feature View that will allow us to serve this
diff --git a/docs/getting-started/third-party-integrations.md b/docs/getting-started/third-party-integrations.md
index a731fd85dc..0c233d7b69 100644
--- a/docs/getting-started/third-party-integrations.md
+++ b/docs/getting-started/third-party-integrations.md
@@ -21,7 +21,7 @@ Don't see your offline store or online store of choice here? Check out our guide
 * [x] [Hive (community plugin)](https://github.com/baineng/feast-hive)
 * [x] [Postgres (community plugin)](https://github.com/nossrannug/feast-postgres)
 * [x] [Spark (community plugin)](https://docs.feast.dev/reference/data-sources/spark)
-* [x] Kafka / Kinesis sources (via [push support into the online store](https://docs.feast.dev/reference/data-sources/push)
+* [x] Kafka / Kinesis sources (via [push support into the online store](https://docs.feast.dev/reference/data-sources/push))
 * [ ] HTTP source
 
 ### Offline Stores
diff --git a/docs/how-to-guides/running-feast-in-production.md b/docs/how-to-guides/running-feast-in-production.md
index 8518bb28d0..5380832609 100644
--- a/docs/how-to-guides/running-feast-in-production.md
+++ b/docs/how-to-guides/running-feast-in-production.md
@@ -274,7 +274,7 @@ For seamless integration with Kubernetes (including services created by Feast He
 
 ## 5. Ingesting features from a stream source
 
-Recently Feast added functionality for [stream ingestion](../reference/alpha-stream-ingestion.md).
+Recently Feast added functionality for [stream ingestion](../reference/data-sources/push.md).
 Please note that this is still in an early phase and new incompatible changes may be introduced.
 
 ### 5.1. Using Python SDK in your Apache Spark / Beam pipeline
diff --git a/docs/reference/alpha-aws-lambda-feature-server.md b/docs/reference/alpha-aws-lambda-feature-server.md
index 58a0f6862b..eadcf40bb4 100644
--- a/docs/reference/alpha-aws-lambda-feature-server.md
+++ b/docs/reference/alpha-aws-lambda-feature-server.md
@@ -8,7 +8,7 @@ To enable this feature, run **`feast alpha enable aws_lambda_feature_server`**
 
 ## Overview
 
-The AWS Lambda feature server is an HTTP endpoint that serves features with JSON I/O, deployed as a Docker image through AWS Lambda and AWS API Gateway. This enables users to get features from Feast using any programming language that can make HTTP requests. A [local feature server](feature-server.md) is also available. A remote feature server on GCP Cloud Run is currently being developed.
+The AWS Lambda feature server is an HTTP endpoint that serves features with JSON I/O, deployed as a Docker image through AWS Lambda and AWS API Gateway. This enables users to get features from Feast using any programming language that can make HTTP requests. A [local feature server](feature-servers/python-feature-server.md) is also available. A remote feature server on GCP Cloud Run is currently being developed.
 
 ## Deployment
 
diff --git a/docs/reference/data-sources/push.md b/docs/reference/data-sources/push.md
index 9f377d2099..e6eff312ec 100644
--- a/docs/reference/data-sources/push.md
+++ b/docs/reference/data-sources/push.md
@@ -1,5 +1,7 @@
 # Push source
 
+**Warning**: This is an _experimental_ feature. It's intended for early testing and feedback, and could change without warnings in future releases.
+
 ## Description
 
 Push sources allow feature values to be pushed to the online store in real time. This allows fresh feature values to be made available to applications. Push sources supercede the 
@@ -31,10 +33,6 @@ from feast.types import Int64
 
 push_source = PushSource(
     name="push_source",
-    schema=[
-        Field(name="user_id", dtype=Int64),
-        Field(name="life_time_value", dtype=Int64)
-    ],
     batch_source=BigQuerySource(table="test.test"),
 )
 
@@ -42,7 +40,7 @@ fv = FeatureView(
     name="feature view",
     entities=["user_id"],
     schema=[Field(name="life_time_value", dtype=Int64)],
-    stream_source=push_source,
+    source=push_source,
 )
 ```
 
@@ -53,6 +51,8 @@ import pandas as pd
 
 fs = FeatureStore(...)
 feature_data_frame = pd.DataFrame()
-fs.push("push_source", feature_data_frame)
+fs.push("push_source_name", feature_data_frame)
 ```
 
+See also [Python feature server](../feature-servers/python-feature-server.md) for instructions on how to push data to a deployed feature server. 
+
diff --git a/docs/reference/feast-cli-commands.md b/docs/reference/feast-cli-commands.md
index 7fb2ccbeb5..38e85843d4 100644
--- a/docs/reference/feast-cli-commands.md
+++ b/docs/reference/feast-cli-commands.md
@@ -2,7 +2,7 @@
 
 ## Overview
 
-The Feast CLI comes bundled with the Feast Python package. It is immediately available after [installing Feast](../how-to-guides/feast-gcp-aws/install-feast.md).
+The Feast CLI comes bundled with the Feast Python package. It is immediately available after [installing Feast](../how-to-guides/feast-snowflake-gcp-aws/install-feast.md).
 
 ```text
 Usage: feast [OPTIONS] COMMAND [ARGS]...
@@ -54,7 +54,7 @@ feast apply
 **What does Feast apply do?**
 
 1. Feast will scan Python files in your feature repository and find all Feast object definitions, such as feature views, entities, and data sources.
-2. Feast will validate your feature definitions
+2. Feast will validate your feature definitions (e.g. for uniqueness of features)
 3. Feast will sync the metadata about Feast objects to the registry. If a registry does not exist, then it will be instantiated. The standard registry is a simple protobuf binary file that is stored on disk \(locally or in an object store\).
 4. Feast CLI will create all necessary feature store infrastructure. The exact infrastructure that is deployed or configured depends on the `provider` configuration that you have set in `feature_store.yaml`. For example, setting `local` as your provider will result in a `sqlite` online store being created. 
 
diff --git a/docs/reference/feature-servers/README.md b/docs/reference/feature-servers/README.md
index e9e3afa4c0..301cea372c 100644
--- a/docs/reference/feature-servers/README.md
+++ b/docs/reference/feature-servers/README.md
@@ -2,4 +2,4 @@
 
 Feast users can choose to retrieve features from a feature server, as opposed to through the Python SDK.
 
-{% page-ref page="local-feature-server.md" %}
+{% page-ref page="python-feature-server.md" %}
diff --git a/docs/reference/feature-servers/go-feature-retrieval.md b/docs/reference/feature-servers/go-feature-retrieval.md
index 999a142c07..05411a7f8c 100644
--- a/docs/reference/feature-servers/go-feature-retrieval.md
+++ b/docs/reference/feature-servers/go-feature-retrieval.md
@@ -2,7 +2,7 @@
 
 ## Overview
 
-The Go Feature Retrieval component is a Go implementation of the core feature serving logic, embedded in the Python SDK. It supports retrieval of feature references, feature services, and on demand feature views, and can be used either through the Python SDK or the [Python feature server](local-feature-server.md).
+The Go Feature Retrieval component is a Go implementation of the core feature serving logic, embedded in the Python SDK. It supports retrieval of feature references, feature services, and on demand feature views, and can be used either through the Python SDK or the [Python feature server](python-feature-server.md).
 
 Currently, this component only supports online serving and does not have an offline component including APIs to create feast feature repositories or apply configuration to the registry to facilitate online materialization. It also does not expose its own dedicated cli to perform feast actions. Furthermore, this component is only meant to expose an online serving API that can be called through the python SDK to facilitate faster online feature retrieval.
 
@@ -10,7 +10,7 @@ The Go Feature Retrieval component currently only supports Redis and Sqlite as o
 
 ## Installation
 
-As long as you are running macOS or linux x86 with python version 3.7-3.10, the go component comes pre-compiled when you run install feast.
+As long as you are running macOS or linux, on x86, with python version 3.7-3.10, the go component comes pre-compiled when you install feast.
 
 For developers, if you want to build from source, run `make compile-go-lib` to build and compile the go server.
 
diff --git a/docs/reference/feature-servers/local-feature-server.md b/docs/reference/feature-servers/python-feature-server.md
similarity index 64%
rename from docs/reference/feature-servers/local-feature-server.md
rename to docs/reference/feature-servers/python-feature-server.md
index 4ea37d4f1e..352f0edc16 100644
--- a/docs/reference/feature-servers/local-feature-server.md
+++ b/docs/reference/feature-servers/python-feature-server.md
@@ -1,15 +1,23 @@
-# Local feature server
+# Python feature server
 
 ## Overview
 
-The local feature server is an HTTP endpoint that serves features with JSON I/O. This enables users to get features from Feast using any programming language that can make HTTP requests. A [remote feature server](../alpha-aws-lambda-feature-server.md) on AWS Lambda is also available. A remote feature server on GCP Cloud Run is currently being developed.
+The feature server is an HTTP endpoint that serves features with JSON I/O. This enables users to write + read features from Feast online stores using any programming language that can make HTTP requests. 
 
 ## CLI
 
-There is a new CLI command that starts the server: `feast serve`. By default Feast uses port 6566; the port be overridden by a `--port` flag.
+There is a CLI command that starts the server: `feast serve`. By default, Feast uses port 6566; the port be overridden by a `--port` flag.
+
+## Deploying as a service
+
+One can also deploy a feature server by building a docker image that bundles in the project's `feature_store.yaml`. See [helm chart](https://github.com/feast-dev/feast/blob/master/infra/charts/feast-python-server) for example.
+
+A [remote feature server](../alpha-aws-lambda-feature-server.md) on AWS Lambda is available. A remote feature server on GCP Cloud Run is currently being developed.
+
 
 ## Example
 
+### Initializing a feature server
 Here's the local feature server usage example with the local template:
 
 ```bash
@@ -41,6 +49,7 @@ INFO:     Uvicorn running on http://127.0.0.1:6566 (Press CTRL+C to quit)
 09/10/2021 10:42:11 AM INFO:Uvicorn running on http://127.0.0.1:6566 (Press CTRL+C to quit)
 ```
 
+### Retrieving features from the online store
 After the server starts, we can execute cURL commands from another terminal tab:
 
 ```bash
@@ -142,3 +151,45 @@ curl -X POST \
     }
   }' | jq
 ```
+
+### Pushing features to the online store
+You can push data corresponding to a push source to the online store (note that timestamps need to be strings):
+
+```text
+curl -X POST "http://localhost:6566/push" -d '{
+    "push_source_name": "driver_hourly_stats_push_source",
+    "df": {
+            "driver_id": [1001],
+            "event_timestamp": ["2022-05-13 10:59:42"],
+            "created": ["2022-05-13 10:59:42"],
+            "conv_rate": [1.0],
+            "acc_rate": [1.0],
+            "avg_daily_trips": [1000]
+    }
+  }' | jq
+```
+
+or equivalently from Python:
+```python
+import json
+import requests
+import pandas as pd
+from datetime import datetime
+
+event_dict = {
+    "driver_id": [1001],
+    "event_timestamp": [str(datetime(2021, 5, 13, 10, 59, 42))],
+    "created": [str(datetime(2021, 5, 13, 10, 59, 42))],
+    "conv_rate": [1.0],
+    "acc_rate": [1.0],
+    "avg_daily_trips": [1000],
+    "string_feature": "test2",
+}
+push_data = {
+    "push_source_name":"driver_stats_push_source",
+    "df":event_dict
+}
+requests.post(
+    "http://localhost:6566/push", 
+    data=json.dumps(push_data))
+```
diff --git a/docs/roadmap.md b/docs/roadmap.md
index 080cf16c02..3eb181c0da 100644
--- a/docs/roadmap.md
+++ b/docs/roadmap.md
@@ -16,7 +16,7 @@ The list below contains the functionality that contributors are planning to deve
   * [x] [Hive (community plugin)](https://github.com/baineng/feast-hive)
   * [x] [Postgres (community plugin)](https://github.com/nossrannug/feast-postgres)
   * [x] [Spark (community plugin)](https://docs.feast.dev/reference/data-sources/spark)
-  * [x] Kafka / Kinesis sources (via [push support into the online store](https://docs.feast.dev/reference/data-sources/push)
+  * [x] Kafka / Kinesis sources (via [push support into the online store](https://docs.feast.dev/reference/data-sources/push))
   * [ ] HTTP source
 * **Offline Stores**
   * [x] [Snowflake](https://docs.feast.dev/reference/offline-stores/snowflake)
diff --git a/docs/tutorials/validating-historical-features.md b/docs/tutorials/validating-historical-features.md
index 5f85e66c94..addd309902 100644
--- a/docs/tutorials/validating-historical-features.md
+++ b/docs/tutorials/validating-historical-features.md
@@ -129,7 +129,7 @@ batch_source = FileSource(
 
 
 ```python
-taxi_entity = Entity(name='taxi', join_key='taxi_id')
+taxi_entity = Entity(name='taxi', join_keys=['taxi_id'])
 ```
 
 
diff --git a/examples/quickstart/quickstart.ipynb b/examples/quickstart/quickstart.ipynb
index 3679fcc778..60974d2751 100644
--- a/examples/quickstart/quickstart.ipynb
+++ b/examples/quickstart/quickstart.ipynb
@@ -59,7 +59,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "rXNMAAJKQPG5",
-        "outputId": "b27420ac-c6ba-4d9f-cae8-51a2007b4189"
+        "outputId": "52297709-380b-4200-8e7c-3d0102a82ea4"
       },
       "source": [
         "%%sh\n",
@@ -67,14 +67,14 @@
         "pip install Pygments -q\n",
         "echo \"Please restart your runtime now (Runtime -> Restart runtime). This ensures that the correct dependencies are loaded.\""
       ],
-      "execution_count": null,
+      "execution_count": 1,
       "outputs": [
         {
           "output_type": "stream",
+          "name": "stdout",
           "text": [
             "Please restart your runtime now (Runtime -> Restart runtime). This ensures that the correct dependencies are loaded.\n"
-          ],
-          "name": "stdout"
+          ]
         }
       ]
     },
@@ -112,22 +112,22 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "IhirSkgUvYau",
-        "outputId": "a2a5631e-1703-4957-b896-9c432851a261"
+        "outputId": "df90af1a-06bd-48a1-94e6-7def19e87d5f"
       },
       "source": [
         "!feast init feature_repo"
       ],
-      "execution_count": null,
+      "execution_count": 1,
       "outputs": [
         {
           "output_type": "stream",
+          "name": "stdout",
           "text": [
             "Feast is an open source project that collects anonymized error reporting and usage statistics. To opt out or learn more see https://docs.feast.dev/reference/usage\n",
             "\n",
             "Creating a new Feast repository in \u001b[1m\u001b[32m/content/feature_repo\u001b[0m.\n",
             "\n"
-          ],
-          "name": "stdout"
+          ]
         }
       ]
     },
@@ -155,25 +155,25 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "9jXuzt4ovzA3",
-        "outputId": "1ef1bf42-2306-4cc0-c959-1ea2d62e3149"
+        "outputId": "bff15f0c-9f8e-4a3c-e605-5ad84be30709"
       },
       "source": [
         "%cd feature_repo\n",
         "!ls -R"
       ],
-      "execution_count": null,
+      "execution_count": 2,
       "outputs": [
         {
           "output_type": "stream",
+          "name": "stdout",
           "text": [
             "/content/feature_repo\n",
             ".:\n",
-            "data  example.py  feature_store.yaml\n",
+            "data  example.py  feature_store.yaml  __init__.py\n",
             "\n",
             "./data:\n",
             "driver_stats.parquet\n"
-          ],
-          "name": "stdout"
+          ]
         }
       ]
     },
@@ -192,8 +192,7 @@
         "*   gcp: use BigQuery/Snowflake with Google Cloud Datastore/Redis\n",
         "*   aws: use Redshift/Snowflake with DynamoDB/Redis\n",
         "\n",
-        "Note that there are many other sources Feast works with, including Azure, Hive, Trino, and PostgreSQL via community plugins. See https://docs.feast.dev/getting-started/third-party-integrations for all supported datasources.",
-        "\n",
+        "Note that there are many other sources Feast works with, including Azure, Hive, Trino, and PostgreSQL via community plugins. See https://docs.feast.dev/getting-started/third-party-integrations for all supported datasources.\n",
         "A custom setup can also be made by following https://docs.feast.dev/v/master/how-to-guides/creating-a-custom-provider"
       ]
     },
@@ -204,23 +203,23 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "9_YJ--uYdtcP",
-        "outputId": "8d772619-aa4d-4cb4-e7e0-2ed45bc09a87"
+        "outputId": "89268e31-6be0-43fb-e576-6d335a2c1dd9"
       },
       "source": [
         "!pygmentize feature_store.yaml"
       ],
-      "execution_count": null,
+      "execution_count": 3,
       "outputs": [
         {
           "output_type": "stream",
+          "name": "stdout",
           "text": [
-            "project: feature_repo\n",
-            "registry: data/registry.db\n",
-            "provider: local\n",
-            "online_store:\n",
-            "    path: data/online_store.db\n"
-          ],
-          "name": "stdout"
+            "\u001b[94mproject\u001b[39;49;00m: feature_repo\n",
+            "\u001b[94mregistry\u001b[39;49;00m: data/registry.db\n",
+            "\u001b[94mprovider\u001b[39;49;00m: local\n",
+            "\u001b[94monline_store\u001b[39;49;00m:\n",
+            "    \u001b[94mpath\u001b[39;49;00m: data/online_store.db\n"
+          ]
         }
       ]
     },
@@ -240,23 +239,55 @@
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 419
+          "height": 424
         },
         "id": "sIF2lO59dwzi",
-        "outputId": "3e7ff19e-1052-49a6-a889-de76cce61714"
+        "outputId": "80e798d5-df21-4ebd-de1c-9bde282bd742"
       },
       "source": [
         "import pandas as pd\n",
         "\n",
         "pd.read_parquet(\"data/driver_stats.parquet\")"
       ],
-      "execution_count": null,
+      "execution_count": 4,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
+            "text/plain": [
+              "               event_timestamp  driver_id  conv_rate  acc_rate  \\\n",
+              "0    2022-03-31 14:00:00+00:00       1005   0.313336  0.231481   \n",
+              "1    2022-03-31 15:00:00+00:00       1005   0.959499  0.942614   \n",
+              "2    2022-03-31 16:00:00+00:00       1005   0.231786  0.313516   \n",
+              "3    2022-03-31 17:00:00+00:00       1005   0.886911  0.531613   \n",
+              "4    2022-03-31 18:00:00+00:00       1005   0.574945  0.718223   \n",
+              "...                        ...        ...        ...       ...   \n",
+              "1802 2022-04-15 12:00:00+00:00       1001   0.521622  0.266667   \n",
+              "1803 2022-04-15 13:00:00+00:00       1001   0.003188  0.535501   \n",
+              "1804 2021-04-12 07:00:00+00:00       1001   0.709081  0.823138   \n",
+              "1805 2022-04-08 02:00:00+00:00       1003   0.033297  0.053268   \n",
+              "1806 2022-04-08 02:00:00+00:00       1003   0.033297  0.053268   \n",
+              "\n",
+              "      avg_daily_trips                 created  \n",
+              "0                 303 2022-04-15 14:34:10.056  \n",
+              "1                 842 2022-04-15 14:34:10.056  \n",
+              "2                 782 2022-04-15 14:34:10.056  \n",
+              "3                 634 2022-04-15 14:34:10.056  \n",
+              "4                 441 2022-04-15 14:34:10.056  \n",
+              "...               ...                     ...  \n",
+              "1802              406 2022-04-15 14:34:10.056  \n",
+              "1803              593 2022-04-15 14:34:10.056  \n",
+              "1804              997 2022-04-15 14:34:10.056  \n",
+              "1805              534 2022-04-15 14:34:10.056  \n",
+              "1806              534 2022-04-15 14:34:10.056  \n",
+              "\n",
+              "[1807 rows x 6 columns]"
+            ],
             "text/html": [
-              "<div>\n",
+              "\n",
+              "  <div id=\"df-fdad8041-cb31-4675-af7e-2643a4371f51\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <div>\n",
               "<style scoped>\n",
               "    .dataframe tbody tr th:only-of-type {\n",
               "        vertical-align: middle;\n",
@@ -285,48 +316,48 @@
               "  <tbody>\n",
               "    <tr>\n",
               "      <th>0</th>\n",
-              "      <td>2021-08-08 16:00:00+00:00</td>\n",
+              "      <td>2022-03-31 14:00:00+00:00</td>\n",
               "      <td>1005</td>\n",
-              "      <td>0.293061</td>\n",
-              "      <td>0.001904</td>\n",
-              "      <td>40</td>\n",
-              "      <td>2021-08-23 16:25:16.962</td>\n",
+              "      <td>0.313336</td>\n",
+              "      <td>0.231481</td>\n",
+              "      <td>303</td>\n",
+              "      <td>2022-04-15 14:34:10.056</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>1</th>\n",
-              "      <td>2021-08-08 17:00:00+00:00</td>\n",
+              "      <td>2022-03-31 15:00:00+00:00</td>\n",
               "      <td>1005</td>\n",
-              "      <td>0.411542</td>\n",
-              "      <td>0.893139</td>\n",
-              "      <td>722</td>\n",
-              "      <td>2021-08-23 16:25:16.962</td>\n",
+              "      <td>0.959499</td>\n",
+              "      <td>0.942614</td>\n",
+              "      <td>842</td>\n",
+              "      <td>2022-04-15 14:34:10.056</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>2</th>\n",
-              "      <td>2021-08-08 18:00:00+00:00</td>\n",
+              "      <td>2022-03-31 16:00:00+00:00</td>\n",
               "      <td>1005</td>\n",
-              "      <td>0.495635</td>\n",
-              "      <td>0.202365</td>\n",
-              "      <td>280</td>\n",
-              "      <td>2021-08-23 16:25:16.962</td>\n",
+              "      <td>0.231786</td>\n",
+              "      <td>0.313516</td>\n",
+              "      <td>782</td>\n",
+              "      <td>2022-04-15 14:34:10.056</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>3</th>\n",
-              "      <td>2021-08-08 19:00:00+00:00</td>\n",
+              "      <td>2022-03-31 17:00:00+00:00</td>\n",
               "      <td>1005</td>\n",
-              "      <td>0.890092</td>\n",
-              "      <td>0.771689</td>\n",
-              "      <td>88</td>\n",
-              "      <td>2021-08-23 16:25:16.962</td>\n",
+              "      <td>0.886911</td>\n",
+              "      <td>0.531613</td>\n",
+              "      <td>634</td>\n",
+              "      <td>2022-04-15 14:34:10.056</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>4</th>\n",
-              "      <td>2021-08-08 20:00:00+00:00</td>\n",
+              "      <td>2022-03-31 18:00:00+00:00</td>\n",
               "      <td>1005</td>\n",
-              "      <td>0.308211</td>\n",
-              "      <td>0.126267</td>\n",
-              "      <td>552</td>\n",
-              "      <td>2021-08-23 16:25:16.962</td>\n",
+              "      <td>0.574945</td>\n",
+              "      <td>0.718223</td>\n",
+              "      <td>441</td>\n",
+              "      <td>2022-04-15 14:34:10.056</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>...</th>\n",
@@ -339,73 +370,133 @@
               "    </tr>\n",
               "    <tr>\n",
               "      <th>1802</th>\n",
-              "      <td>2021-08-23 14:00:00+00:00</td>\n",
+              "      <td>2022-04-15 12:00:00+00:00</td>\n",
               "      <td>1001</td>\n",
-              "      <td>0.251525</td>\n",
-              "      <td>0.245729</td>\n",
-              "      <td>98</td>\n",
-              "      <td>2021-08-23 16:25:16.962</td>\n",
+              "      <td>0.521622</td>\n",
+              "      <td>0.266667</td>\n",
+              "      <td>406</td>\n",
+              "      <td>2022-04-15 14:34:10.056</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>1803</th>\n",
-              "      <td>2021-08-23 15:00:00+00:00</td>\n",
+              "      <td>2022-04-15 13:00:00+00:00</td>\n",
               "      <td>1001</td>\n",
-              "      <td>0.469145</td>\n",
-              "      <td>0.138416</td>\n",
-              "      <td>606</td>\n",
-              "      <td>2021-08-23 16:25:16.962</td>\n",
+              "      <td>0.003188</td>\n",
+              "      <td>0.535501</td>\n",
+              "      <td>593</td>\n",
+              "      <td>2022-04-15 14:34:10.056</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>1804</th>\n",
               "      <td>2021-04-12 07:00:00+00:00</td>\n",
               "      <td>1001</td>\n",
-              "      <td>0.897222</td>\n",
-              "      <td>0.086379</td>\n",
-              "      <td>314</td>\n",
-              "      <td>2021-08-23 16:25:16.962</td>\n",
+              "      <td>0.709081</td>\n",
+              "      <td>0.823138</td>\n",
+              "      <td>997</td>\n",
+              "      <td>2022-04-15 14:34:10.056</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>1805</th>\n",
-              "      <td>2021-08-16 04:00:00+00:00</td>\n",
+              "      <td>2022-04-08 02:00:00+00:00</td>\n",
               "      <td>1003</td>\n",
-              "      <td>0.298156</td>\n",
-              "      <td>0.671153</td>\n",
-              "      <td>162</td>\n",
-              "      <td>2021-08-23 16:25:16.962</td>\n",
+              "      <td>0.033297</td>\n",
+              "      <td>0.053268</td>\n",
+              "      <td>534</td>\n",
+              "      <td>2022-04-15 14:34:10.056</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>1806</th>\n",
-              "      <td>2021-08-16 04:00:00+00:00</td>\n",
+              "      <td>2022-04-08 02:00:00+00:00</td>\n",
               "      <td>1003</td>\n",
-              "      <td>0.298156</td>\n",
-              "      <td>0.671153</td>\n",
-              "      <td>162</td>\n",
-              "      <td>2021-08-23 16:25:16.962</td>\n",
+              "      <td>0.033297</td>\n",
+              "      <td>0.053268</td>\n",
+              "      <td>534</td>\n",
+              "      <td>2022-04-15 14:34:10.056</td>\n",
               "    </tr>\n",
               "  </tbody>\n",
               "</table>\n",
               "<p>1807 rows × 6 columns</p>\n",
-              "</div>"
-            ],
-            "text/plain": [
-              "               event_timestamp  ...                 created\n",
-              "0    2021-08-08 16:00:00+00:00  ... 2021-08-23 16:25:16.962\n",
-              "1    2021-08-08 17:00:00+00:00  ... 2021-08-23 16:25:16.962\n",
-              "2    2021-08-08 18:00:00+00:00  ... 2021-08-23 16:25:16.962\n",
-              "3    2021-08-08 19:00:00+00:00  ... 2021-08-23 16:25:16.962\n",
-              "4    2021-08-08 20:00:00+00:00  ... 2021-08-23 16:25:16.962\n",
-              "...                        ...  ...                     ...\n",
-              "1802 2021-08-23 14:00:00+00:00  ... 2021-08-23 16:25:16.962\n",
-              "1803 2021-08-23 15:00:00+00:00  ... 2021-08-23 16:25:16.962\n",
-              "1804 2021-04-12 07:00:00+00:00  ... 2021-08-23 16:25:16.962\n",
-              "1805 2021-08-16 04:00:00+00:00  ... 2021-08-23 16:25:16.962\n",
-              "1806 2021-08-16 04:00:00+00:00  ... 2021-08-23 16:25:16.962\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-fdad8041-cb31-4675-af7e-2643a4371f51')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "        \n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </button>\n",
+              "      \n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
               "\n",
-              "[1807 rows x 6 columns]"
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-fdad8041-cb31-4675-af7e-2643a4371f51 button.colab-df-convert');\n",
+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-fdad8041-cb31-4675-af7e-2643a4371f51');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n",
+              "  "
             ]
           },
           "metadata": {},
-          "execution_count": 5
+          "execution_count": 4
         }
       ]
     },
@@ -438,53 +529,54 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "DPqXCoNpL0SX",
-        "outputId": "a252e224-61da-48ee-92b8-1780def99244"
+        "outputId": "be1308b2-0c83-4dd3-eb88-e79ffcbd20d6"
       },
       "source": [
         "!pygmentize -f terminal16m example.py"
       ],
-      "execution_count": null,
+      "execution_count": 5,
       "outputs": [
         {
           "output_type": "stream",
+          "name": "stdout",
           "text": [
-            "\u001b[38;2;64;128;128m# This is an example feature definition file\u001b[39m\n",
+            "\u001b[38;2;64;128;128;03m# This is an example feature definition file\u001b[39;00m\n",
             "\n",
-            "\u001b[38;2;0;128;0;01mfrom\u001b[39;00m \u001b[38;2;0;0;255;01mgoogle.protobuf.duration_pb2\u001b[39;00m \u001b[38;2;0;128;0;01mimport\u001b[39;00m Duration\n",
+            "\u001b[38;2;0;128;0;01mfrom\u001b[39;00m \u001b[38;2;0;0;255;01mdatetime\u001b[39;00m \u001b[38;2;0;128;0;01mimport\u001b[39;00m timedelta\n",
             "\n",
-            "\u001b[38;2;0;128;0;01mfrom\u001b[39;00m \u001b[38;2;0;0;255;01mfeast\u001b[39;00m \u001b[38;2;0;128;0;01mimport\u001b[39;00m Entity, Feature, FeatureView, FileSource, ValueType\n",
+            "\u001b[38;2;0;128;0;01mfrom\u001b[39;00m \u001b[38;2;0;0;255;01mfeast\u001b[39;00m \u001b[38;2;0;128;0;01mimport\u001b[39;00m Entity, FeatureView, Field, FileSource, ValueType\n",
+            "\u001b[38;2;0;128;0;01mfrom\u001b[39;00m \u001b[38;2;0;0;255;01mfeast\u001b[39;00m\u001b[38;2;0;0;255;01m.\u001b[39;00m\u001b[38;2;0;0;255;01mtypes\u001b[39;00m \u001b[38;2;0;128;0;01mimport\u001b[39;00m Float32, Int64\n",
             "\n",
-            "\u001b[38;2;64;128;128m# Read data from parquet files. Parquet is convenient for local development mode. For\u001b[39m\n",
-            "\u001b[38;2;64;128;128m# production, you can use your favorite DWH, such as BigQuery. See Feast documentation\u001b[39m\n",
-            "\u001b[38;2;64;128;128m# for more info.\u001b[39m\n",
+            "\u001b[38;2;64;128;128;03m# Read data from parquet files. Parquet is convenient for local development mode. For\u001b[39;00m\n",
+            "\u001b[38;2;64;128;128;03m# production, you can use your favorite DWH, such as BigQuery. See Feast documentation\u001b[39;00m\n",
+            "\u001b[38;2;64;128;128;03m# for more info.\u001b[39;00m\n",
             "driver_hourly_stats \u001b[38;2;102;102;102m=\u001b[39m FileSource(\n",
             "    path\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33m/content/feature_repo/data/driver_stats.parquet\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m,\n",
-            "    event_timestamp_column\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mevent_timestamp\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m,\n",
+            "    timestamp_field\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mevent_timestamp\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m,\n",
             "    created_timestamp_column\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mcreated\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m,\n",
             ")\n",
             "\n",
-            "\u001b[38;2;64;128;128m# Define an entity for the driver. You can think of entity as a primary key used to\u001b[39m\n",
-            "\u001b[38;2;64;128;128m# fetch features.\u001b[39m\n",
-            "driver \u001b[38;2;102;102;102m=\u001b[39m Entity(name\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mdriver_id\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m, value_type\u001b[38;2;102;102;102m=\u001b[39mValueType\u001b[38;2;102;102;102m.\u001b[39mINT64, description\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mdriver id\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m,)\n",
+            "\u001b[38;2;64;128;128;03m# Define an entity for the driver. You can think of entity as a primary key used to\u001b[39;00m\n",
+            "\u001b[38;2;64;128;128;03m# fetch features.\u001b[39;00m\n",
+            "driver \u001b[38;2;102;102;102m=\u001b[39m Entity(name\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mdriver\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m, value_type\u001b[38;2;102;102;102m=\u001b[39mValueType\u001b[38;2;102;102;102m.\u001b[39mINT64, join_key\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mdriver_id\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m,)\n",
             "\n",
-            "\u001b[38;2;64;128;128m# Our parquet files contain sample data that includes a driver_id column, timestamps and\u001b[39m\n",
-            "\u001b[38;2;64;128;128m# three feature column. Here we define a Feature View that will allow us to serve this\u001b[39m\n",
-            "\u001b[38;2;64;128;128m# data to our model online.\u001b[39m\n",
+            "\u001b[38;2;64;128;128;03m# Our parquet files contain sample data that includes a driver_id column, timestamps and\u001b[39;00m\n",
+            "\u001b[38;2;64;128;128;03m# three feature column. Here we define a Feature View that will allow us to serve this\u001b[39;00m\n",
+            "\u001b[38;2;64;128;128;03m# data to our model online.\u001b[39;00m\n",
             "driver_hourly_stats_view \u001b[38;2;102;102;102m=\u001b[39m FeatureView(\n",
             "    name\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mdriver_hourly_stats\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m,\n",
-            "    entities\u001b[38;2;102;102;102m=\u001b[39m[\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mdriver_id\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m],\n",
-            "    ttl\u001b[38;2;102;102;102m=\u001b[39mDuration(seconds\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;102;102;102m86400\u001b[39m \u001b[38;2;102;102;102m*\u001b[39m \u001b[38;2;102;102;102m1\u001b[39m),\n",
-            "    features\u001b[38;2;102;102;102m=\u001b[39m[\n",
-            "        Feature(name\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mconv_rate\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m, dtype\u001b[38;2;102;102;102m=\u001b[39mValueType\u001b[38;2;102;102;102m.\u001b[39mFLOAT),\n",
-            "        Feature(name\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33macc_rate\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m, dtype\u001b[38;2;102;102;102m=\u001b[39mValueType\u001b[38;2;102;102;102m.\u001b[39mFLOAT),\n",
-            "        Feature(name\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mavg_daily_trips\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m, dtype\u001b[38;2;102;102;102m=\u001b[39mValueType\u001b[38;2;102;102;102m.\u001b[39mINT64),\n",
+            "    entities\u001b[38;2;102;102;102m=\u001b[39m[\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mdriver\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m],\n",
+            "    ttl\u001b[38;2;102;102;102m=\u001b[39mtimedelta(days\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;102;102;102m1\u001b[39m),\n",
+            "    schema\u001b[38;2;102;102;102m=\u001b[39m[\n",
+            "        Field(name\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mconv_rate\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m, dtype\u001b[38;2;102;102;102m=\u001b[39mFloat32),\n",
+            "        Field(name\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33macc_rate\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m, dtype\u001b[38;2;102;102;102m=\u001b[39mFloat32),\n",
+            "        Field(name\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m\u001b[38;2;186;33;33mavg_daily_trips\u001b[39m\u001b[38;2;186;33;33m\"\u001b[39m, dtype\u001b[38;2;102;102;102m=\u001b[39mInt64),\n",
             "    ],\n",
-            "    online\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;0;128;0mTrue\u001b[39m,\n",
-            "    batch_source\u001b[38;2;102;102;102m=\u001b[39mdriver_hourly_stats,\n",
+            "    online\u001b[38;2;102;102;102m=\u001b[39m\u001b[38;2;0;128;0;01mTrue\u001b[39;00m,\n",
+            "    source\u001b[38;2;102;102;102m=\u001b[39mdriver_hourly_stats,\n",
             "    tags\u001b[38;2;102;102;102m=\u001b[39m{},\n",
             ")\n"
-          ],
-          "name": "stdout"
+          ]
         }
       ]
     },
@@ -505,21 +597,23 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "RYKCKKrcxYZG",
-        "outputId": "d36b3fb2-9292-4b43-f26a-5441c301c92d"
+        "outputId": "9745d7eb-b4b8-4a43-bf47-189bbf07ae09"
       },
       "source": [
         "!feast apply"
       ],
-      "execution_count": null,
+      "execution_count": 6,
       "outputs": [
         {
           "output_type": "stream",
+          "name": "stdout",
           "text": [
-            "Registered entity \u001b[1m\u001b[32mdriver_id\u001b[0m\n",
-            "Registered feature view \u001b[1m\u001b[32mdriver_hourly_stats\u001b[0m\n",
-            "Deploying infrastructure for \u001b[1m\u001b[32mdriver_hourly_stats\u001b[0m\n"
-          ],
-          "name": "stdout"
+            "Created entity \u001b[1m\u001b[32mdriver_id\u001b[0m\n",
+            "Created feature view \u001b[1m\u001b[32mdriver_hourly_stats\u001b[0m\n",
+            "\n",
+            "Created sqlite table \u001b[1m\u001b[32mfeature_repo_driver_hourly_stats\u001b[0m\n",
+            "\n"
+          ]
         }
       ]
     },
@@ -544,7 +638,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "C6Fzia7YwBzz",
-        "outputId": "250e9be1-2283-4d74-cf48-297b8ae0d23a"
+        "outputId": "b99aedae-9c47-4b9f-acdd-cd02e2e091b7"
       },
       "source": [
         "from datetime import datetime, timedelta\n",
@@ -583,21 +677,22 @@
         "print(\"----- Example features -----\\n\")\n",
         "print(training_df.head())"
       ],
-      "execution_count": null,
+      "execution_count": 7,
       "outputs": [
         {
           "output_type": "stream",
+          "name": "stdout",
           "text": [
             "----- Feature schema -----\n",
             "\n",
             "<class 'pandas.core.frame.DataFrame'>\n",
-            "Int64Index: 3 entries, 0 to 2\n",
+            "Int64Index: 3 entries, 720 to 1081\n",
             "Data columns (total 6 columns):\n",
             " #   Column                              Non-Null Count  Dtype              \n",
             "---  ------                              --------------  -----              \n",
-            " 0   event_timestamp                     3 non-null      datetime64[ns, UTC]\n",
-            " 1   driver_id                           3 non-null      int64              \n",
-            " 2   label_driver_reported_satisfaction  3 non-null      int64              \n",
+            " 0   driver_id                           3 non-null      int64              \n",
+            " 1   label_driver_reported_satisfaction  3 non-null      int64              \n",
+            " 2   event_timestamp                     3 non-null      datetime64[ns, UTC]\n",
             " 3   conv_rate                           3 non-null      float32            \n",
             " 4   acc_rate                            3 non-null      float32            \n",
             " 5   avg_daily_trips                     3 non-null      int32              \n",
@@ -607,14 +702,16 @@
             "\n",
             "----- Example features -----\n",
             "\n",
-            "                   event_timestamp  driver_id  ...  acc_rate  avg_daily_trips\n",
-            "0 2021-08-23 15:12:55.489091+00:00       1003  ...  0.120588              938\n",
-            "1 2021-08-23 15:49:55.489089+00:00       1002  ...  0.504881              635\n",
-            "2 2021-08-23 16:14:55.489075+00:00       1001  ...  0.138416              606\n",
+            "      driver_id  label_driver_reported_satisfaction  \\\n",
+            "720        1002                                   5   \n",
+            "359        1001                                   1   \n",
+            "1081       1003                                   3   \n",
             "\n",
-            "[3 rows x 6 columns]\n"
-          ],
-          "name": "stdout"
+            "                      event_timestamp  conv_rate  acc_rate  avg_daily_trips  \n",
+            "720  2022-04-15 13:58:30.900257+00:00   0.368052  0.417923              346  \n",
+            "359  2022-04-15 14:23:30.900240+00:00   0.003188  0.535501              593  \n",
+            "1081 2022-04-15 13:21:30.900260+00:00   0.214944  0.788695              904  \n"
+          ]
         }
       ]
     },
@@ -645,23 +742,23 @@
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "efbb493a-89a2-41ce-b3b4-d0d05131a8ff"
+        "outputId": "d38a0e0a-2802-4408-ab92-a26baf82752e"
       },
       "source": [
         "from datetime import datetime\n",
         "!feast materialize-incremental {datetime.now().isoformat()}"
       ],
-      "execution_count": null,
+      "execution_count": 8,
       "outputs": [
         {
           "output_type": "stream",
+          "name": "stdout",
           "text": [
-            "Materializing \u001b[1m\u001b[32m1\u001b[0m feature views to \u001b[1m\u001b[32m2021-08-23 16:25:46+00:00\u001b[0m into the \u001b[1m\u001b[32msqlite\u001b[0m online store.\n",
+            "Materializing \u001b[1m\u001b[32m1\u001b[0m feature views to \u001b[1m\u001b[32m2022-04-15 14:34:37+00:00\u001b[0m into the \u001b[1m\u001b[32msqlite\u001b[0m online store.\n",
             "\n",
-            "\u001b[1m\u001b[32mdriver_hourly_stats\u001b[0m from \u001b[1m\u001b[32m2021-08-22 16:25:47+00:00\u001b[0m to \u001b[1m\u001b[32m2021-08-23 16:25:46+00:00\u001b[0m:\n",
-            "\r  0%|                                                                         | 0/5 [00:00<?, ?it/s]\r100%|████████████████████████████████████████████████████████████████| 5/5 [00:00<00:00, 592.05it/s]\n"
-          ],
-          "name": "stdout"
+            "\u001b[1m\u001b[32mdriver_hourly_stats\u001b[0m from \u001b[1m\u001b[32m2022-04-14 14:34:38+00:00\u001b[0m to \u001b[1m\u001b[32m2022-04-15 14:34:37+00:00\u001b[0m:\n",
+            "100%|████████████████████████████████████████████████████████████████| 5/5 [00:00<00:00, 434.17it/s]\n"
+          ]
         }
       ]
     },
@@ -683,7 +780,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "aVIgSYhI4cvR",
-        "outputId": "c91be624-3646-413d-a9df-8d29e8c85bb1"
+        "outputId": "eada224a-bd86-4933-f0ce-5e66870918cc"
       },
       "source": [
         "print(\"--- Data directory ---\")\n",
@@ -698,18 +795,18 @@
         "        \"SELECT * FROM feature_repo_driver_hourly_stats\", con).columns.tolist())\n",
         "con.close()"
       ],
-      "execution_count": null,
+      "execution_count": 9,
       "outputs": [
         {
           "output_type": "stream",
+          "name": "stdout",
           "text": [
             "--- Data directory ---\n",
             "driver_stats.parquet  online_store.db  registry.db\n",
             "\n",
             "--- Schema of online store ---\n",
             "['entity_key', 'feature_name', 'value', 'event_ts', 'created_ts']\n"
-          ],
-          "name": "stdout"
+          ]
         }
       ]
     },
@@ -750,7 +847,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "a-PUsUWUxoH9",
-        "outputId": "78b12b00-4718-41c6-a33a-2d56f47bd05c"
+        "outputId": "7acecf34-8e5a-4a87-caa8-c2bff39d1376"
       },
       "source": [
         "from pprint import pprint\n",
@@ -772,17 +869,17 @@
         "\n",
         "pprint(feature_vector)"
       ],
-      "execution_count": null,
+      "execution_count": 10,
       "outputs": [
         {
           "output_type": "stream",
+          "name": "stdout",
           "text": [
-            "{'acc_rate': [0.5732735991477966, 0.7828438878059387],\n",
-            " 'avg_daily_trips': [33, 984],\n",
-            " 'conv_rate': [0.15498852729797363, 0.6263588070869446],\n",
+            "{'acc_rate': [0.29913440346717834, 0.4562472701072693],\n",
+            " 'avg_daily_trips': [474, 261],\n",
+            " 'conv_rate': [0.20237785577774048, 0.30597227811813354],\n",
             " 'driver_id': [1004, 1005]}\n"
-          ],
-          "name": "stdout"
+          ]
         }
       ]
     },
diff --git a/infra/charts/feast-python-server/Chart.yaml b/infra/charts/feast-python-server/Chart.yaml
index 1c1271b11e..49a5239fce 100644
--- a/infra/charts/feast-python-server/Chart.yaml
+++ b/infra/charts/feast-python-server/Chart.yaml
@@ -2,7 +2,7 @@ apiVersion: v2
 name: feast-python-server
 description: Feast Feature Server in Python
 type: application
-version: 0.20.0
+version: 0.20.1
 keywords:
   - machine learning
   - big data
diff --git a/infra/charts/feast-python-server/README.md b/infra/charts/feast-python-server/README.md
index 02a8054799..4f9a96d1d1 100644
--- a/infra/charts/feast-python-server/README.md
+++ b/infra/charts/feast-python-server/README.md
@@ -1,6 +1,6 @@
 # feast-python-server
 
-![Version: 0.20.0](https://img.shields.io/badge/Version-0.20.0-informational?style=flat-square) ![Type: application](https://img.shields.io/badge/Type-application-informational?style=flat-square)
+![Version: 0.20.1](https://img.shields.io/badge/Version-0.20.1-informational?style=flat-square) ![Type: application](https://img.shields.io/badge/Type-application-informational?style=flat-square)
 
 Feast Feature Server in Python
 
diff --git a/infra/charts/feast/Chart.yaml b/infra/charts/feast/Chart.yaml
index f526e0a738..a45c278462 100644
--- a/infra/charts/feast/Chart.yaml
+++ b/infra/charts/feast/Chart.yaml
@@ -1,7 +1,7 @@
 apiVersion: v1
 description: Feature store for machine learning
 name: feast
-version: 0.20.0
+version: 0.20.1
 keywords:
   - machine learning
   - big data
diff --git a/infra/charts/feast/README.md b/infra/charts/feast/README.md
index de28d54d8e..7878373c91 100644
--- a/infra/charts/feast/README.md
+++ b/infra/charts/feast/README.md
@@ -8,7 +8,7 @@ This repo contains Helm charts for Feast components that are being installed on
    
 ## Chart: Feast
 
-Feature store for machine learning Current chart version is `0.20.0`
+Feature store for machine learning Current chart version is `0.20.1`
 
 ## Installation
 
@@ -55,8 +55,8 @@ For more details, please see: https://docs.feast.dev/how-to-guides/running-feast
 | Repository | Name | Version |
 |------------|------|---------|
 | https://charts.helm.sh/stable | redis | 10.5.6  |
-| https://feast-helm-charts.storage.googleapis.com | feature-server(feature-server) | 0.20.0  |
-| https://feast-helm-charts.storage.googleapis.com | transformation-service(transformation-service) | 0.20.0  |
+| https://feast-helm-charts.storage.googleapis.com | feature-server(feature-server) | 0.20.1  |
+| https://feast-helm-charts.storage.googleapis.com | transformation-service(transformation-service) | 0.20.1  |
 
 ## Values
 
diff --git a/infra/charts/feast/charts/feature-server/Chart.yaml b/infra/charts/feast/charts/feature-server/Chart.yaml
index 492a0f3b61..754da633e4 100644
--- a/infra/charts/feast/charts/feature-server/Chart.yaml
+++ b/infra/charts/feast/charts/feature-server/Chart.yaml
@@ -1,8 +1,8 @@
 apiVersion: v1
 description: "Feast Feature Server: Online feature serving service for Feast"
 name: feature-server
-version: 0.20.0
-appVersion: v0.20.0
+version: 0.20.1
+appVersion: v0.20.1
 keywords:
 - machine learning
 - big data
diff --git a/infra/charts/feast/charts/feature-server/README.md b/infra/charts/feast/charts/feature-server/README.md
index 43d4787d7b..5eb2ccd059 100644
--- a/infra/charts/feast/charts/feature-server/README.md
+++ b/infra/charts/feast/charts/feature-server/README.md
@@ -1,6 +1,6 @@
 # feature-server
 
-![Version: 0.20.0](https://img.shields.io/badge/Version-0.20.0-informational?style=flat-square) ![AppVersion: v0.20.0](https://img.shields.io/badge/AppVersion-v0.20.0-informational?style=flat-square)
+![Version: 0.20.1](https://img.shields.io/badge/Version-0.20.1-informational?style=flat-square) ![AppVersion: v0.20.1](https://img.shields.io/badge/AppVersion-v0.20.1-informational?style=flat-square)
 
 Feast Feature Server: Online feature serving service for Feast
 
@@ -17,7 +17,7 @@ Feast Feature Server: Online feature serving service for Feast
 | envOverrides | object | `{}`                                                  | Extra environment variables to set |
 | image.pullPolicy | string | `"IfNotPresent"`                                      | Image pull policy |
 | image.repository | string | `"feastdev/feature-server-java"`                      | Docker image for Feature Server repository |
-| image.tag | string | `"0.20.0"`                                            | Image tag |
+| image.tag | string | `"0.20.1"`                                            | Image tag |
 | ingress.grpc.annotations | object | `{}`                                                  | Extra annotations for the ingress |
 | ingress.grpc.auth.enabled | bool | `false`                                               | Flag to enable auth |
 | ingress.grpc.class | string | `"nginx"`                                             | Which ingress controller to use |
diff --git a/infra/charts/feast/charts/feature-server/values.yaml b/infra/charts/feast/charts/feature-server/values.yaml
index c8089b4d5e..2cdbf4840c 100644
--- a/infra/charts/feast/charts/feature-server/values.yaml
+++ b/infra/charts/feast/charts/feature-server/values.yaml
@@ -5,7 +5,7 @@ image:
   # image.repository -- Docker image for Feature Server repository
   repository: feastdev/feature-server-java
   # image.tag -- Image tag
-  tag: 0.20.0
+  tag: 0.20.1
   # image.pullPolicy -- Image pull policy
   pullPolicy: IfNotPresent
 
diff --git a/infra/charts/feast/charts/transformation-service/Chart.yaml b/infra/charts/feast/charts/transformation-service/Chart.yaml
index 8fd50e7664..b9fc88f12a 100644
--- a/infra/charts/feast/charts/transformation-service/Chart.yaml
+++ b/infra/charts/feast/charts/transformation-service/Chart.yaml
@@ -1,8 +1,8 @@
 apiVersion: v1
 description: "Transformation service: to compute on-demand features"
 name: transformation-service
-version: 0.20.0
-appVersion: v0.20.0
+version: 0.20.1
+appVersion: v0.20.1
 keywords:
 - machine learning
 - big data
diff --git a/infra/charts/feast/charts/transformation-service/README.md b/infra/charts/feast/charts/transformation-service/README.md
index 5324c191ee..d37be5ab07 100644
--- a/infra/charts/feast/charts/transformation-service/README.md
+++ b/infra/charts/feast/charts/transformation-service/README.md
@@ -1,6 +1,6 @@
 # transformation-service
 
-![Version: 0.20.0](https://img.shields.io/badge/Version-0.20.0-informational?style=flat-square) ![AppVersion: v0.20.0](https://img.shields.io/badge/AppVersion-v0.20.0-informational?style=flat-square)
+![Version: 0.20.1](https://img.shields.io/badge/Version-0.20.1-informational?style=flat-square) ![AppVersion: v0.20.1](https://img.shields.io/badge/AppVersion-v0.20.1-informational?style=flat-square)
 
 Transformation service: to compute on-demand features
 
@@ -13,7 +13,7 @@ Transformation service: to compute on-demand features
 | envOverrides | object | `{}`                                       | Extra environment variables to set |
 | image.pullPolicy | string | `"IfNotPresent"`                           | Image pull policy |
 | image.repository | string | `"feastdev/feature-transformation-server"` | Docker image for Transformation Server repository |
-| image.tag | string | `"0.20.0"`                                 | Image tag |
+| image.tag | string | `"0.20.1"`                                 | Image tag |
 | nodeSelector | object | `{}`                                       | Node labels for pod assignment |
 | podLabels | object | `{}`                                       | Labels to be added to Feast Serving pods |
 | replicaCount | int | `1`                                        | Number of pods that will be created |
diff --git a/infra/charts/feast/charts/transformation-service/values.yaml b/infra/charts/feast/charts/transformation-service/values.yaml
index 248f9faac3..41db8d0ab7 100644
--- a/infra/charts/feast/charts/transformation-service/values.yaml
+++ b/infra/charts/feast/charts/transformation-service/values.yaml
@@ -5,7 +5,7 @@ image:
   # image.repository -- Docker image for Transformation Server repository
   repository: feastdev/feature-transformation-server
   # image.tag -- Image tag
-  tag: 0.20.0
+  tag: 0.20.1
   # image.pullPolicy -- Image pull policy
   pullPolicy: IfNotPresent
 
diff --git a/infra/charts/feast/requirements.yaml b/infra/charts/feast/requirements.yaml
index e0eb8368af..2fcc3857cd 100644
--- a/infra/charts/feast/requirements.yaml
+++ b/infra/charts/feast/requirements.yaml
@@ -1,12 +1,12 @@
 dependencies:
 - name: feature-server
   alias: feature-server
-  version: 0.20.0
+  version: 0.20.1
   condition: feature-server.enabled
   repository: https://feast-helm-charts.storage.googleapis.com
 - name: transformation-service
   alias: transformation-service
-  version: 0.20.0
+  version: 0.20.1
   condition: transformation-service.enabled
   repository: https://feast-helm-charts.storage.googleapis.com
 - name: redis
diff --git a/infra/scripts/release/bump_file_versions.py b/infra/scripts/release/bump_file_versions.py
index b706c2c141..451b2f5a72 100644
--- a/infra/scripts/release/bump_file_versions.py
+++ b/infra/scripts/release/bump_file_versions.py
@@ -4,7 +4,7 @@
 import sys
 
 USAGE = f"Usage: python {sys.argv[0]} [--help] | current_semver_version new_semver_version]"
-VERSIONS_TO_BUMP = 27
+VERSIONS_TO_BUMP = 28
 
 
 def main() -> None:
diff --git a/java/pom.xml b/java/pom.xml
index 4a4049305b..65dca26725 100644
--- a/java/pom.xml
+++ b/java/pom.xml
@@ -38,7 +38,7 @@
     </modules>
 
     <properties>
-        <revision>0.20.0</revision>
+        <revision>0.20.1</revision>
         <github.url>https://github.com/feast-dev/feast</github.url>
 
         <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
@@ -68,7 +68,7 @@
         <javax.xml.bind.version>2.3.1</javax.xml.bind.version>
         <javax.annotation.version>1.3.2</javax.annotation.version>
         <javax.validation.version>2.0.1.Final</javax.validation.version>
-        <google.auth.library.oauth2.http.version>0.20.0</google.auth.library.oauth2.http.version>
+        <google.auth.library.oauth2.http.version>0.20.1</google.auth.library.oauth2.http.version>
         <auto.value.version>1.6.6</auto.value.version>
         <guava.version>29.0-jre</guava.version>
 
diff --git a/protos/feast/core/DataSource.proto b/protos/feast/core/DataSource.proto
index d958281ca2..9e6028ccfa 100644
--- a/protos/feast/core/DataSource.proto
+++ b/protos/feast/core/DataSource.proto
@@ -222,8 +222,7 @@ message DataSource {
   // Defines options for DataSource that supports pushing data to it. This allows data to be pushed to
   // the online store on-demand, such as by stream consumers.
   message PushOptions {
-    // Mapping of feature name to type
-    map<string, feast.types.ValueType.Enum> schema = 1;
+    reserved 1;
   }
 
 
diff --git a/sdk/python/feast/base_feature_view.py b/sdk/python/feast/base_feature_view.py
index 67435fa44c..80b3b0cec8 100644
--- a/sdk/python/feast/base_feature_view.py
+++ b/sdk/python/feast/base_feature_view.py
@@ -110,7 +110,7 @@ def __str__(self):
         return str(MessageToJson(self.to_proto()))
 
     def __hash__(self):
-        return hash((id(self), self.name))
+        return hash((self.name))
 
     def __getitem__(self, item):
         assert isinstance(item, list)
@@ -134,6 +134,7 @@ def __eq__(self, other):
         if (
             self.name != other.name
             or sorted(self.features) != sorted(other.features)
+            or self.projection != other.projection
             or self.description != other.description
             or self.tags != other.tags
             or self.owner != other.owner
diff --git a/sdk/python/feast/cli.py b/sdk/python/feast/cli.py
index 7dc8e19859..80cd1844b6 100644
--- a/sdk/python/feast/cli.py
+++ b/sdk/python/feast/cli.py
@@ -113,7 +113,7 @@ def version():
 @click.pass_context
 def endpoint(ctx: click.Context):
     """
-    Display feature server endpoints.
+    Display feature server endpoints
     """
     repo = ctx.obj["CHDIR"]
     cli_check_repo(repo)
@@ -593,7 +593,7 @@ def serve_command(ctx: click.Context, host: str, port: int, no_access_log: bool)
 )
 @click.pass_context
 def serve_transformations_command(ctx: click.Context, port: int):
-    """[Experimental] Start a the feature consumption server locally on a given port."""
+    """[Experimental] Start a feature consumption server locally on a given port."""
     repo = ctx.obj["CHDIR"]
     cli_check_repo(repo)
     store = FeatureStore(repo_path=str(repo))
diff --git a/sdk/python/feast/data_source.py b/sdk/python/feast/data_source.py
index 0e264117ae..79c6cbdf51 100644
--- a/sdk/python/feast/data_source.py
+++ b/sdk/python/feast/data_source.py
@@ -21,7 +21,7 @@
 
 from feast import type_map
 from feast.data_format import StreamFormat
-from feast.field import Field, from_value_type
+from feast.field import Field
 from feast.protos.feast.core.DataSource_pb2 import DataSource as DataSourceProto
 from feast.repo_config import RepoConfig, get_data_source_class_from_type
 from feast.types import VALUE_TYPES_TO_FEAST_TYPES
@@ -186,6 +186,7 @@ class DataSource(ABC):
 
     def __init__(
         self,
+        *,
         event_timestamp_column: Optional[str] = None,
         created_timestamp_column: Optional[str] = None,
         field_mapping: Optional[Dict[str, str]] = None,
@@ -245,7 +246,7 @@ def __init__(
         self.owner = owner or ""
 
     def __hash__(self):
-        return hash((id(self), self.name))
+        return hash((self.name, self.timestamp_field))
 
     def __str__(self):
         return str(MessageToJson(self.to_proto()))
@@ -263,9 +264,9 @@ def __eq__(self, other):
             or self.created_timestamp_column != other.created_timestamp_column
             or self.field_mapping != other.field_mapping
             or self.date_partition_column != other.date_partition_column
+            or self.description != other.description
             or self.tags != other.tags
             or self.owner != other.owner
-            or self.description != other.description
         ):
             return False
 
@@ -354,11 +355,12 @@ def get_table_column_names_and_types(
 
     def __init__(
         self,
-        name: str,
-        event_timestamp_column: str,
-        bootstrap_servers: str,
-        message_format: StreamFormat,
-        topic: str,
+        *args,
+        name: Optional[str] = None,
+        event_timestamp_column: Optional[str] = "",
+        bootstrap_servers: Optional[str] = None,
+        message_format: Optional[StreamFormat] = None,
+        topic: Optional[str] = None,
         created_timestamp_column: Optional[str] = "",
         field_mapping: Optional[Dict[str, str]] = None,
         date_partition_column: Optional[str] = "",
@@ -368,22 +370,62 @@ def __init__(
         timestamp_field: Optional[str] = "",
         batch_source: Optional[DataSource] = None,
     ):
+        positional_attributes = [
+            "name",
+            "event_timestamp_column",
+            "bootstrap_servers",
+            "message_format",
+            "topic",
+        ]
+        _name = name
+        _event_timestamp_column = event_timestamp_column
+        _bootstrap_servers = bootstrap_servers or ""
+        _message_format = message_format
+        _topic = topic or ""
+
+        if args:
+            warnings.warn(
+                (
+                    "Kafka parameters should be specified as a keyword argument instead of a positional arg."
+                    "Feast 0.23+ will not support positional arguments to construct Kafka sources"
+                ),
+                DeprecationWarning,
+            )
+            if len(args) > len(positional_attributes):
+                raise ValueError(
+                    f"Only {', '.join(positional_attributes)} are allowed as positional args when defining "
+                    f"Kafka sources, for backwards compatibility."
+                )
+            if len(args) >= 1:
+                _name = args[0]
+            if len(args) >= 2:
+                _event_timestamp_column = args[1]
+            if len(args) >= 3:
+                _bootstrap_servers = args[2]
+            if len(args) >= 4:
+                _message_format = args[3]
+            if len(args) >= 5:
+                _topic = args[4]
+
+        if _message_format is None:
+            raise ValueError("Message format must be specified for Kafka source")
+        print("Asdfasdf")
         super().__init__(
-            event_timestamp_column=event_timestamp_column,
+            event_timestamp_column=_event_timestamp_column,
             created_timestamp_column=created_timestamp_column,
             field_mapping=field_mapping,
             date_partition_column=date_partition_column,
             description=description,
             tags=tags,
             owner=owner,
-            name=name,
+            name=_name,
             timestamp_field=timestamp_field,
         )
         self.batch_source = batch_source
         self.kafka_options = KafkaOptions(
-            bootstrap_servers=bootstrap_servers,
-            message_format=message_format,
-            topic=topic,
+            bootstrap_servers=_bootstrap_servers,
+            message_format=_message_format,
+            topic=_topic,
         )
 
     def __eq__(self, other):
@@ -392,6 +434,9 @@ def __eq__(self, other):
                 "Comparisons should only involve KafkaSource class objects."
             )
 
+        if not super().__eq__(other):
+            return False
+
         if (
             self.kafka_options.bootstrap_servers
             != other.kafka_options.bootstrap_servers
@@ -402,6 +447,9 @@ def __eq__(self, other):
 
         return True
 
+    def __hash__(self):
+        return super().__hash__()
+
     @staticmethod
     def from_proto(data_source: DataSourceProto):
         return KafkaSource(
@@ -466,32 +514,56 @@ class RequestSource(DataSource):
 
     def __init__(
         self,
-        name: str,
-        schema: Union[Dict[str, ValueType], List[Field]],
+        *args,
+        name: Optional[str] = None,
+        schema: Optional[Union[Dict[str, ValueType], List[Field]]] = None,
         description: Optional[str] = "",
         tags: Optional[Dict[str, str]] = None,
         owner: Optional[str] = "",
     ):
         """Creates a RequestSource object."""
-        super().__init__(name=name, description=description, tags=tags, owner=owner)
-        if isinstance(schema, Dict):
+        positional_attributes = ["name", "schema"]
+        _name = name
+        _schema = schema
+        if args:
+            warnings.warn(
+                (
+                    "Request source parameters should be specified as a keyword argument instead of a positional arg."
+                    "Feast 0.23+ will not support positional arguments to construct request sources"
+                ),
+                DeprecationWarning,
+            )
+            if len(args) > len(positional_attributes):
+                raise ValueError(
+                    f"Only {', '.join(positional_attributes)} are allowed as positional args when defining "
+                    f"feature views, for backwards compatibility."
+                )
+            if len(args) >= 1:
+                _name = args[0]
+            if len(args) >= 2:
+                _schema = args[1]
+
+        super().__init__(name=_name, description=description, tags=tags, owner=owner)
+        if not _schema:
+            raise ValueError("Schema needs to be provided for Request Source")
+        if isinstance(_schema, Dict):
             warnings.warn(
                 "Schema in RequestSource is changing type. The schema data type Dict[str, ValueType] is being deprecated in Feast 0.23. "
                 "Please use List[Field] instead for the schema",
                 DeprecationWarning,
             )
             schemaList = []
-            for key, valueType in schema.items():
+            for key, valueType in _schema.items():
                 schemaList.append(
                     Field(name=key, dtype=VALUE_TYPES_TO_FEAST_TYPES[valueType])
                 )
             self.schema = schemaList
-        elif isinstance(schema, List):
-            self.schema = schema
+        elif isinstance(_schema, List):
+            self.schema = _schema
         else:
             raise Exception(
                 "Schema type must be either dictionary or list, not "
-                + str(type(schema))
+                + str(type(_schema))
             )
 
     def validate(self, config: RepoConfig):
@@ -507,13 +579,10 @@ def __eq__(self, other):
             raise TypeError(
                 "Comparisons should only involve RequestSource class objects."
             )
-        if (
-            self.name != other.name
-            or self.description != other.description
-            or self.owner != other.owner
-            or self.tags != other.tags
-        ):
+
+        if not super().__eq__(other):
             return False
+
         if isinstance(self.schema, List) and isinstance(other.schema, List):
             for field1, field2 in zip(self.schema, other.schema):
                 if field1 != field2:
@@ -640,12 +709,13 @@ def get_table_query_string(self) -> str:
 
     def __init__(
         self,
-        name: str,
-        event_timestamp_column: str,
-        created_timestamp_column: str,
-        record_format: StreamFormat,
-        region: str,
-        stream_name: str,
+        *args,
+        name: Optional[str] = None,
+        event_timestamp_column: Optional[str] = "",
+        created_timestamp_column: Optional[str] = "",
+        record_format: Optional[StreamFormat] = None,
+        region: Optional[str] = "",
+        stream_name: Optional[str] = "",
         field_mapping: Optional[Dict[str, str]] = None,
         date_partition_column: Optional[str] = "",
         description: Optional[str] = "",
@@ -654,10 +724,53 @@ def __init__(
         timestamp_field: Optional[str] = "",
         batch_source: Optional[DataSource] = None,
     ):
+        positional_attributes = [
+            "name",
+            "event_timestamp_column",
+            "created_timestamp_column",
+            "record_format",
+            "region",
+            "stream_name",
+        ]
+        _name = name
+        _event_timestamp_column = event_timestamp_column
+        _created_timestamp_column = created_timestamp_column
+        _record_format = record_format
+        _region = region or ""
+        _stream_name = stream_name or ""
+        if args:
+            warnings.warn(
+                (
+                    "Kinesis parameters should be specified as a keyword argument instead of a positional arg."
+                    "Feast 0.23+ will not support positional arguments to construct kinesis sources"
+                ),
+                DeprecationWarning,
+            )
+            if len(args) > len(positional_attributes):
+                raise ValueError(
+                    f"Only {', '.join(positional_attributes)} are allowed as positional args when defining "
+                    f"kinesis sources, for backwards compatibility."
+                )
+            if len(args) >= 1:
+                _name = args[0]
+            if len(args) >= 2:
+                _event_timestamp_column = args[1]
+            if len(args) >= 3:
+                _created_timestamp_column = args[2]
+            if len(args) >= 4:
+                _record_format = args[3]
+            if len(args) >= 5:
+                _region = args[4]
+            if len(args) >= 6:
+                _stream_name = args[5]
+
+        if _record_format is None:
+            raise ValueError("Record format must be specified for kinesis source")
+
         super().__init__(
-            name=name,
-            event_timestamp_column=event_timestamp_column,
-            created_timestamp_column=created_timestamp_column,
+            name=_name,
+            event_timestamp_column=_event_timestamp_column,
+            created_timestamp_column=_created_timestamp_column,
             field_mapping=field_mapping,
             date_partition_column=date_partition_column,
             description=description,
@@ -667,21 +780,20 @@ def __init__(
         )
         self.batch_source = batch_source
         self.kinesis_options = KinesisOptions(
-            record_format=record_format, region=region, stream_name=stream_name
+            record_format=_record_format, region=_region, stream_name=_stream_name
         )
 
     def __eq__(self, other):
-        if other is None:
-            return False
-
         if not isinstance(other, KinesisSource):
             raise TypeError(
                 "Comparisons should only involve KinesisSource class objects."
             )
 
+        if not super().__eq__(other):
+            return False
+
         if (
-            self.name != other.name
-            or self.kinesis_options.record_format != other.kinesis_options.record_format
+            self.kinesis_options.record_format != other.kinesis_options.record_format
             or self.kinesis_options.region != other.kinesis_options.region
             or self.kinesis_options.stream_name != other.kinesis_options.stream_name
         ):
@@ -689,6 +801,9 @@ def __eq__(self, other):
 
         return True
 
+    def __hash__(self):
+        return super().__hash__()
+
     def to_proto(self) -> DataSourceProto:
         data_source_proto = DataSourceProto(
             name=self.name,
@@ -714,45 +829,73 @@ class PushSource(DataSource):
     A source that can be used to ingest features on request
     """
 
-    name: str
-    schema: List[Field]
+    # TODO(adchia): consider adding schema here in case where Feast manages pushing events to the offline store
+    # TODO(adchia): consider a "mode" to support pushing raw vs transformed events
     batch_source: DataSource
-    timestamp_field: str
 
     def __init__(
         self,
-        *,
-        name: str,
-        schema: List[Field],
-        batch_source: DataSource,
+        *args,
+        name: Optional[str] = None,
+        batch_source: Optional[DataSource] = None,
         description: Optional[str] = "",
         tags: Optional[Dict[str, str]] = None,
         owner: Optional[str] = "",
-        timestamp_field: Optional[str] = "",
     ):
         """
         Creates a PushSource object.
         Args:
             name: Name of the push source
-            schema: Schema mapping from the input feature name to a ValueType
             batch_source: The batch source that backs this push source. It's used when materializing from the offline
                 store to the online store, and when retrieving historical features.
             description (optional): A human-readable description.
             tags (optional): A dictionary of key-value pairs to store arbitrary metadata.
             owner (optional): The owner of the data source, typically the email of the primary
                 maintainer.
-            timestamp_field (optional): Event timestamp foe;d used for point in time
-                joins of feature values.
 
         """
-        super().__init__(name=name, description=description, tags=tags, owner=owner)
-        self.schema = sorted(schema)  # TODO: add schema inference from a batch source
-        self.batch_source = batch_source
-        if not self.batch_source:
-            raise ValueError(f"batch_source is needed for push source {self.name}")
-        if not timestamp_field:
-            raise ValueError(f"timestamp field is needed for push source {self.name}")
-        self.timestamp_field = timestamp_field
+        positional_attributes = ["name", "batch_source"]
+        _name = name
+        _batch_source = batch_source
+        if args:
+            warnings.warn(
+                (
+                    "Push source parameters should be specified as a keyword argument instead of a positional arg."
+                    "Feast 0.23+ will not support positional arguments to construct push sources"
+                ),
+                DeprecationWarning,
+            )
+            if len(args) > len(positional_attributes):
+                raise ValueError(
+                    f"Only {', '.join(positional_attributes)} are allowed as positional args when defining "
+                    f"push sources, for backwards compatibility."
+                )
+            if len(args) >= 1:
+                _name = args[0]
+            if len(args) >= 2:
+                _batch_source = args[1]
+
+        super().__init__(name=_name, description=description, tags=tags, owner=owner)
+        if not _batch_source:
+            raise ValueError(
+                f"batch_source parameter is needed for push source {self.name}"
+            )
+        self.batch_source = _batch_source
+
+    def __eq__(self, other):
+        if not isinstance(other, PushSource):
+            raise TypeError("Comparisons should only involve PushSource class objects.")
+
+        if not super().__eq__(other):
+            return False
+
+        if self.batch_source != other.batch_source:
+            return False
+
+        return True
+
+    def __hash__(self):
+        return super().__hash__()
 
     def validate(self, config: RepoConfig):
         pass
@@ -764,38 +907,25 @@ def get_table_column_names_and_types(
 
     @staticmethod
     def from_proto(data_source: DataSourceProto):
-        schema_pb = data_source.push_options.schema
-        schema = []
-        for key, val in schema_pb.items():
-            schema.append(Field(name=key, dtype=from_value_type(ValueType(val))))
-
         assert data_source.HasField("batch_source")
         batch_source = DataSource.from_proto(data_source.batch_source)
 
         return PushSource(
             name=data_source.name,
-            schema=sorted(schema),
             batch_source=batch_source,
-            timestamp_field=data_source.timestamp_field,
             description=data_source.description,
             tags=dict(data_source.tags),
             owner=data_source.owner,
         )
 
     def to_proto(self) -> DataSourceProto:
-        schema_pb = {}
-        for field in self.schema:
-            schema_pb[field.name] = field.dtype.to_value_type().value
         batch_source_proto = None
         if self.batch_source:
             batch_source_proto = self.batch_source.to_proto()
 
-        options = DataSourceProto.PushOptions(schema=schema_pb,)
         data_source_proto = DataSourceProto(
             name=self.name,
             type=DataSourceProto.PUSH_SOURCE,
-            push_options=options,
-            timestamp_field=self.timestamp_field,
             description=self.description,
             tags=self.tags,
             owner=self.owner,
diff --git a/sdk/python/feast/diff/registry_diff.py b/sdk/python/feast/diff/registry_diff.py
index 10bd88c56f..b2caec2b68 100644
--- a/sdk/python/feast/diff/registry_diff.py
+++ b/sdk/python/feast/diff/registry_diff.py
@@ -177,7 +177,7 @@ def extract_objects_for_keep_delete_update_add(
         FeastObjectType, List[Any]
     ] = FeastObjectType.get_objects_from_registry(registry, current_project)
     registry_object_type_to_repo_contents: Dict[
-        FeastObjectType, Set[Any]
+        FeastObjectType, List[Any]
     ] = FeastObjectType.get_objects_from_repo_contents(desired_repo_contents)
 
     for object_type in FEAST_OBJECT_TYPES:
diff --git a/sdk/python/feast/entity.py b/sdk/python/feast/entity.py
index 3988626860..2142900050 100644
--- a/sdk/python/feast/entity.py
+++ b/sdk/python/feast/entity.py
@@ -105,7 +105,7 @@ def __init__(
         self.last_updated_timestamp = None
 
     def __hash__(self) -> int:
-        return hash((id(self), self.name))
+        return hash((self.name, self.join_key))
 
     def __eq__(self, other):
         if not isinstance(other, Entity):
diff --git a/sdk/python/feast/feature_server.py b/sdk/python/feast/feature_server.py
index 20fcd410c2..8347bed6da 100644
--- a/sdk/python/feast/feature_server.py
+++ b/sdk/python/feast/feature_server.py
@@ -94,9 +94,7 @@ def push(body=Depends(get_body)):
     @app.post("/write-to-online-store")
     def write_to_online_store(body=Depends(get_body)):
         warnings.warn(
-            "write_to_online_store is an experimental feature. "
-            "This API is unstable and it could be changed in the future. "
-            "We do not guarantee that future changes will maintain backward compatibility.",
+            "write_to_online_store is deprecated. Please consider using /push instead",
             RuntimeWarning,
         )
         try:
diff --git a/sdk/python/feast/feature_service.py b/sdk/python/feast/feature_service.py
index 40030b34ce..492d31a809 100644
--- a/sdk/python/feast/feature_service.py
+++ b/sdk/python/feast/feature_service.py
@@ -1,3 +1,4 @@
+import warnings
 from datetime import datetime
 from typing import Dict, List, Optional, Union
 
@@ -47,8 +48,9 @@ class FeatureService:
     @log_exceptions
     def __init__(
         self,
-        name: str,
-        features: List[Union[FeatureView, OnDemandFeatureView]],
+        *args,
+        name: Optional[str] = None,
+        features: Optional[List[Union[FeatureView, OnDemandFeatureView]]] = None,
         tags: Dict[str, str] = None,
         description: str = "",
         owner: str = "",
@@ -59,10 +61,38 @@ def __init__(
         Raises:
             ValueError: If one of the specified features is not a valid type.
         """
-        self.name = name
+        positional_attributes = ["name", "features"]
+        _name = name
+        _features = features
+        if args:
+            warnings.warn(
+                (
+                    "Feature service parameters should be specified as a keyword argument instead of a positional arg."
+                    "Feast 0.23+ will not support positional arguments to construct feature service"
+                ),
+                DeprecationWarning,
+            )
+            if len(args) > len(positional_attributes):
+                raise ValueError(
+                    f"Only {', '.join(positional_attributes)} are allowed as positional args when defining "
+                    f"feature service, for backwards compatibility."
+                )
+            if len(args) >= 1:
+                _name = args[0]
+            if len(args) >= 2:
+                _features = args[1]
+
+        if not _name:
+            raise ValueError("Feature service name needs to be specified")
+
+        if not _features:
+            # Technically, legal to create feature service with no feature views before.
+            _features = []
+
+        self.name = _name
         self.feature_view_projections = []
 
-        for feature_grouping in features:
+        for feature_grouping in _features:
             if isinstance(feature_grouping, BaseFeatureView):
                 self.feature_view_projections.append(feature_grouping.projection)
             else:
@@ -85,7 +115,7 @@ def __str__(self):
         return str(MessageToJson(self.to_proto()))
 
     def __hash__(self):
-        return hash((id(self), self.name))
+        return hash((self.name))
 
     def __eq__(self, other):
         if not isinstance(other, FeatureService):
diff --git a/sdk/python/feast/feature_store.py b/sdk/python/feast/feature_store.py
index 33d297f3ca..4f456be384 100644
--- a/sdk/python/feast/feature_store.py
+++ b/sdk/python/feast/feature_store.py
@@ -92,7 +92,6 @@
 
 warnings.simplefilter("once", DeprecationWarning)
 
-
 if TYPE_CHECKING:
     from feast.embedded_go.online_features_service import EmbeddedOnlineFeatureServer
 
@@ -534,25 +533,25 @@ def _plan(
             ...     batch_source=driver_hourly_stats,
             ... )
             >>> registry_diff, infra_diff, new_infra = fs._plan(RepoContents(
-            ...     data_sources={driver_hourly_stats},
-            ...     feature_views={driver_hourly_stats_view},
-            ...     on_demand_feature_views=set(),
-            ...     request_feature_views=set(),
-            ...     entities={driver},
-            ...     feature_services=set())) # register entity and feature view
+            ...     data_sources=[driver_hourly_stats],
+            ...     feature_views=[driver_hourly_stats_view],
+            ...     on_demand_feature_views=list(),
+            ...     request_feature_views=list(),
+            ...     entities=[driver],
+            ...     feature_services=list())) # register entity and feature view
         """
         # Validate and run inference on all the objects to be registered.
         self._validate_all_feature_views(
-            list(desired_repo_contents.feature_views),
-            list(desired_repo_contents.on_demand_feature_views),
-            list(desired_repo_contents.request_feature_views),
+            desired_repo_contents.feature_views,
+            desired_repo_contents.on_demand_feature_views,
+            desired_repo_contents.request_feature_views,
         )
-        _validate_data_sources(list(desired_repo_contents.data_sources))
+        _validate_data_sources(desired_repo_contents.data_sources)
         self._make_inferences(
-            list(desired_repo_contents.data_sources),
-            list(desired_repo_contents.entities),
-            list(desired_repo_contents.feature_views),
-            list(desired_repo_contents.on_demand_feature_views),
+            desired_repo_contents.data_sources,
+            desired_repo_contents.entities,
+            desired_repo_contents.feature_views,
+            desired_repo_contents.on_demand_feature_views,
         )
 
         # Compute the desired difference between the current objects in the registry and
@@ -1186,16 +1185,25 @@ def tqdm_builder(length):
             )
 
     @log_exceptions_and_usage
-    def push(self, push_source_name: str, df: pd.DataFrame):
+    def push(
+        self, push_source_name: str, df: pd.DataFrame, allow_registry_cache: bool = True
+    ):
         """
         Push features to a push source. This updates all the feature views that have the push source as stream source.
         Args:
             push_source_name: The name of the push source we want to push data to.
             df: the data being pushed.
+            allow_registry_cache: whether to allow cached versions of the registry.
         """
+        warnings.warn(
+            "Push source is an experimental feature. "
+            "This API is unstable and it could and might change in the future. "
+            "We do not guarantee that future changes will maintain backward compatibility.",
+            RuntimeWarning,
+        )
         from feast.data_source import PushSource
 
-        all_fvs = self.list_feature_views(allow_cache=True)
+        all_fvs = self.list_feature_views(allow_cache=allow_registry_cache)
 
         fvs_with_push_sources = {
             fv
@@ -1208,7 +1216,9 @@ def push(self, push_source_name: str, df: pd.DataFrame):
         }
 
         for fv in fvs_with_push_sources:
-            self.write_to_online_store(fv.name, df, allow_registry_cache=True)
+            self.write_to_online_store(
+                fv.name, df, allow_registry_cache=allow_registry_cache
+            )
 
     @log_exceptions_and_usage
     def write_to_online_store(
diff --git a/sdk/python/feast/feature_view.py b/sdk/python/feast/feature_view.py
index 7d29a4b69b..7060870780 100644
--- a/sdk/python/feast/feature_view.py
+++ b/sdk/python/feast/feature_view.py
@@ -45,7 +45,7 @@
 DUMMY_ENTITY_NAME = "__dummy"
 DUMMY_ENTITY_VAL = ""
 DUMMY_ENTITY = Entity(
-    name=DUMMY_ENTITY_NAME, join_key=DUMMY_ENTITY_ID, value_type=ValueType.STRING,
+    name=DUMMY_ENTITY_NAME, join_keys=[DUMMY_ENTITY_ID], value_type=ValueType.STRING,
 )
 
 
@@ -137,7 +137,7 @@ def __init__(
             ValueError: A field mapping conflicts with an Entity or a Feature.
         """
 
-        positional_attributes = ["name, entities, ttl"]
+        positional_attributes = ["name", "entities", "ttl"]
 
         _name = name
         _entities = entities
@@ -270,7 +270,6 @@ def _initialize_sources(self, name, batch_source, stream_source, source):
                 self.batch_source = batch_source
         self.source = source
 
-    # Note: Python requires redefining hash in child classes that override __eq__
     def __hash__(self):
         return super().__hash__()
 
@@ -298,19 +297,15 @@ def __eq__(self, other):
             return False
 
         if (
-            self.tags != other.tags
+            sorted(self.entities) != sorted(other.entities)
             or self.ttl != other.ttl
             or self.online != other.online
+            or self.batch_source != other.batch_source
+            or self.stream_source != other.stream_source
+            or self.schema != other.schema
         ):
             return False
 
-        if sorted(self.entities) != sorted(other.entities):
-            return False
-        if self.batch_source != other.batch_source:
-            return False
-        if self.stream_source != other.stream_source:
-            return False
-
         return True
 
     def ensure_valid(self):
diff --git a/sdk/python/feast/inference.py b/sdk/python/feast/inference.py
index 9d15a6a25f..1f03fc50fc 100644
--- a/sdk/python/feast/inference.py
+++ b/sdk/python/feast/inference.py
@@ -2,7 +2,7 @@
 from typing import List
 
 from feast import BigQuerySource, Entity, FileSource, RedshiftSource, SnowflakeSource
-from feast.data_source import DataSource, RequestSource
+from feast.data_source import DataSource, PushSource, RequestSource
 from feast.errors import RegistryInferenceFailure
 from feast.feature_view import FeatureView
 from feast.field import Field, from_value_type
@@ -32,7 +32,9 @@ def update_entities_with_inferred_types_from_feature_views(
         if not (incomplete_entities_keys & set(view.entities)):
             continue  # skip if view doesn't contain any entities that need inference
 
-        col_names_and_types = view.batch_source.get_table_column_names_and_types(config)
+        col_names_and_types = list(
+            view.batch_source.get_table_column_names_and_types(config)
+        )
         for entity_name in view.entities:
             if entity_name in incomplete_entities:
                 entity = incomplete_entities[entity_name]
@@ -74,6 +76,8 @@ def update_data_sources_with_inferred_event_timestamp_col(
     for data_source in data_sources:
         if isinstance(data_source, RequestSource):
             continue
+        if isinstance(data_source, PushSource):
+            data_source = data_source.batch_source
         if data_source.timestamp_field is None or data_source.timestamp_field == "":
             # prepare right match pattern for data source
             ts_column_type_regex_pattern = ""
diff --git a/sdk/python/feast/infra/feature_servers/aws_lambda/Dockerfile b/sdk/python/feast/infra/feature_servers/aws_lambda/Dockerfile
index 5b685dbcf6..0c342a77ce 100644
--- a/sdk/python/feast/infra/feature_servers/aws_lambda/Dockerfile
+++ b/sdk/python/feast/infra/feature_servers/aws_lambda/Dockerfile
@@ -10,7 +10,9 @@ COPY go go
 COPY README.md README.md
 
 # Install Feast for AWS with Lambda dependencies
-RUN pip3 install -e 'sdk/python[aws,redis]'
+# TODO(felixwang9817): Remove Snowflake dependencies once lazy loading of offline stores is supported.
+# See https://github.com/feast-dev/feast/issues/2566 for more details.
+RUN pip3 install -e 'sdk/python[aws,redis,snowflake]'
 RUN pip3 install -r sdk/python/feast/infra/feature_servers/aws_lambda/requirements.txt --target "${LAMBDA_TASK_ROOT}"
 
 # Set the CMD to your handler (could also be done as a parameter override outside of the Dockerfile)
diff --git a/sdk/python/feast/infra/offline_stores/bigquery_source.py b/sdk/python/feast/infra/offline_stores/bigquery_source.py
index 31b0ed617e..cb4cd1b5be 100644
--- a/sdk/python/feast/infra/offline_stores/bigquery_source.py
+++ b/sdk/python/feast/infra/offline_stores/bigquery_source.py
@@ -16,6 +16,7 @@
 class BigQuerySource(DataSource):
     def __init__(
         self,
+        *,
         event_timestamp_column: Optional[str] = "",
         table: Optional[str] = None,
         created_timestamp_column: Optional[str] = "",
diff --git a/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark_source.py b/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark_source.py
index 65997040cc..dc92e08a50 100644
--- a/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark_source.py
+++ b/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark_source.py
@@ -30,6 +30,7 @@ class SparkSourceFormat(Enum):
 class SparkSource(DataSource):
     def __init__(
         self,
+        *,
         name: Optional[str] = None,
         table: Optional[str] = None,
         query: Optional[str] = None,
diff --git a/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino_source.py b/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino_source.py
index 7d6280746e..b8fddee89f 100644
--- a/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino_source.py
+++ b/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino_source.py
@@ -88,7 +88,6 @@ def __init__(
         table: Optional[str] = None,
         created_timestamp_column: Optional[str] = "",
         field_mapping: Optional[Dict[str, str]] = None,
-        date_partition_column: Optional[str] = None,
         query: Optional[str] = None,
         name: Optional[str] = None,
         description: Optional[str] = "",
diff --git a/sdk/python/feast/infra/offline_stores/file.py b/sdk/python/feast/infra/offline_stores/file.py
index cb6e874f8a..a7d8b25abf 100644
--- a/sdk/python/feast/infra/offline_stores/file.py
+++ b/sdk/python/feast/infra/offline_stores/file.py
@@ -299,11 +299,25 @@ def evaluate_offline_job():
                 if created_timestamp_column
                 else [event_timestamp_column]
             )
+            # try-catch block is added to deal with this issue https://github.com/dask/dask/issues/8939.
+            # TODO(kevjumba): remove try catch when fix is merged upstream in Dask.
+            try:
+                if created_timestamp_column:
+                    source_df = source_df.sort_values(by=created_timestamp_column,)
+
+                source_df = source_df.sort_values(by=event_timestamp_column)
+
+            except ZeroDivisionError:
+                # Use 1 partition to get around case where everything in timestamp column is the same so the partition algorithm doesn't
+                # try to divide by zero.
+                if created_timestamp_column:
+                    source_df = source_df.sort_values(
+                        by=created_timestamp_column, npartitions=1
+                    )
 
-            if created_timestamp_column:
-                source_df = source_df.sort_values(by=created_timestamp_column)
-
-            source_df = source_df.sort_values(by=event_timestamp_column)
+                source_df = source_df.sort_values(
+                    by=event_timestamp_column, npartitions=1
+                )
 
             source_df = source_df[
                 (source_df[event_timestamp_column] >= start_date)
diff --git a/sdk/python/feast/infra/offline_stores/file_source.py b/sdk/python/feast/infra/offline_stores/file_source.py
index 3df0db69b1..e177642a32 100644
--- a/sdk/python/feast/infra/offline_stores/file_source.py
+++ b/sdk/python/feast/infra/offline_stores/file_source.py
@@ -20,7 +20,8 @@
 class FileSource(DataSource):
     def __init__(
         self,
-        path: str,
+        *args,
+        path: Optional[str] = None,
         event_timestamp_column: Optional[str] = "",
         file_format: Optional[FileFormat] = None,
         created_timestamp_column: Optional[str] = "",
@@ -58,13 +59,31 @@ def __init__(
             >>> from feast import FileSource
             >>> file_source = FileSource(path="my_features.parquet", timestamp_field="event_timestamp")
         """
-        if path is None:
+        positional_attributes = ["path"]
+        _path = path
+        if args:
+            if args:
+                warnings.warn(
+                    (
+                        "File Source parameters should be specified as a keyword argument instead of a positional arg."
+                        "Feast 0.23+ will not support positional arguments to construct File sources"
+                    ),
+                    DeprecationWarning,
+                )
+                if len(args) > len(positional_attributes):
+                    raise ValueError(
+                        f"Only {', '.join(positional_attributes)} are allowed as positional args when defining "
+                        f"File sources, for backwards compatibility."
+                    )
+                if len(args) >= 1:
+                    _path = args[0]
+        if _path is None:
             raise ValueError(
                 'No "path" argument provided. Please set "path" to the location of your file source.'
             )
         self.file_options = FileOptions(
             file_format=file_format,
-            uri=path,
+            uri=_path,
             s3_endpoint_override=s3_endpoint_override,
         )
 
diff --git a/sdk/python/feast/infra/offline_stores/redshift_source.py b/sdk/python/feast/infra/offline_stores/redshift_source.py
index f099e307cc..dcfcb50aa6 100644
--- a/sdk/python/feast/infra/offline_stores/redshift_source.py
+++ b/sdk/python/feast/infra/offline_stores/redshift_source.py
@@ -16,6 +16,7 @@
 class RedshiftSource(DataSource):
     def __init__(
         self,
+        *,
         event_timestamp_column: Optional[str] = "",
         table: Optional[str] = None,
         schema: Optional[str] = None,
diff --git a/sdk/python/feast/infra/offline_stores/snowflake_source.py b/sdk/python/feast/infra/offline_stores/snowflake_source.py
index 1d24cba44a..8f3f2f0bb5 100644
--- a/sdk/python/feast/infra/offline_stores/snowflake_source.py
+++ b/sdk/python/feast/infra/offline_stores/snowflake_source.py
@@ -15,6 +15,7 @@
 class SnowflakeSource(DataSource):
     def __init__(
         self,
+        *,
         database: Optional[str] = None,
         warehouse: Optional[str] = None,
         schema: Optional[str] = None,
diff --git a/sdk/python/feast/infra/online_stores/dynamodb.py b/sdk/python/feast/infra/online_stores/dynamodb.py
index 01562ad900..406bee525f 100644
--- a/sdk/python/feast/infra/online_stores/dynamodb.py
+++ b/sdk/python/feast/infra/online_stores/dynamodb.py
@@ -59,9 +59,6 @@ class DynamoDBOnlineStoreConfig(FeastConfigBaseModel):
     region: StrictStr
     """AWS Region Name"""
 
-    sort_response: bool = True
-    """Whether or not to sort BatchGetItem response."""
-
     table_name_template: StrictStr = "{project}.{table_name}"
     """DynamoDB table name template"""
 
@@ -204,9 +201,6 @@ def online_read(
         """
         Retrieve feature values from the online DynamoDB store.
 
-        Note: This method is currently not optimized to retrieve a lot of data at a time
-        as it does sequential gets from the DynamoDB table.
-
         Args:
             config: The RepoConfig for the current FeatureStore.
             table: Feast FeatureView.
@@ -224,7 +218,6 @@ def online_read(
         result: List[Tuple[Optional[datetime], Optional[Dict[str, ValueProto]]]] = []
         entity_ids = [compute_entity_id(entity_key) for entity_key in entity_keys]
         batch_size = online_config.batch_size
-        sort_response = online_config.sort_response
         entity_ids_iter = iter(entity_ids)
         while True:
             batch = list(itertools.islice(entity_ids_iter, batch_size))
@@ -243,20 +236,27 @@ def online_read(
             response = response.get("Responses")
             table_responses = response.get(table_instance.name)
             if table_responses:
-                if sort_response:
-                    table_responses = self._sort_dynamodb_response(
-                        table_responses, entity_ids
-                    )
+                table_responses = self._sort_dynamodb_response(
+                    table_responses, entity_ids
+                )
+                entity_idx = 0
                 for tbl_res in table_responses:
+                    entity_id = tbl_res["entity_id"]
+                    while entity_id != batch[entity_idx]:
+                        result.append((None, None))
+                        entity_idx += 1
                     res = {}
                     for feature_name, value_bin in tbl_res["values"].items():
                         val = ValueProto()
                         val.ParseFromString(value_bin.value)
                         res[feature_name] = val
                     result.append((datetime.fromisoformat(tbl_res["event_ts"]), res))
-            else:
-                batch_size_nones = ((None, None),) * len(batch)
-                result.extend(batch_size_nones)
+                    entity_idx += 1
+
+            # Not all entities in a batch may have responses
+            # Pad with remaining values in batch that were not found
+            batch_size_nones = ((None, None),) * (len(batch) - len(result))
+            result.extend(batch_size_nones)
         return result
 
     def _get_dynamodb_client(self, region: str, endpoint_url: Optional[str] = None):
diff --git a/sdk/python/feast/infra/online_stores/online_store.py b/sdk/python/feast/infra/online_stores/online_store.py
index 1f177996de..04c6a065fb 100644
--- a/sdk/python/feast/infra/online_stores/online_store.py
+++ b/sdk/python/feast/infra/online_stores/online_store.py
@@ -76,9 +76,9 @@ def online_read(
             entity_keys: a list of entity keys that should be read from the FeatureStore.
             requested_features: (Optional) A subset of the features that should be read from the FeatureStore.
         Returns:
-            Data is returned as a list, one item per entity key. Each item in the list is a tuple
-            of event_ts for the row, and the feature data as a dict from feature names to values.
-            Values are returned as Value proto message.
+            Data is returned as a list, one item per entity key in the original order as the entity_keys argument.
+            Each item in the list is a tuple of event_ts for the row, and the feature data as a dict from feature names
+            to values. Values are returned as Value proto message.
         """
         ...
 
diff --git a/sdk/python/feast/infra/online_stores/redis.py b/sdk/python/feast/infra/online_stores/redis.py
index a2e8e27d80..9ceceff0ac 100644
--- a/sdk/python/feast/infra/online_stores/redis.py
+++ b/sdk/python/feast/infra/online_stores/redis.py
@@ -42,7 +42,7 @@
 
 try:
     from redis import Redis
-    from rediscluster import RedisCluster
+    from redis.cluster import ClusterNode, RedisCluster
 except ImportError as e:
     from feast.errors import FeastExtrasDependencyImportError
 
@@ -164,7 +164,9 @@ def _get_client(self, online_store_config: RedisOnlineStoreConfig):
                 online_store_config.connection_string
             )
             if online_store_config.redis_type == RedisType.redis_cluster:
-                kwargs["startup_nodes"] = startup_nodes
+                kwargs["startup_nodes"] = [
+                    ClusterNode(**node) for node in startup_nodes
+                ]
                 self._client = RedisCluster(**kwargs)
             else:
                 kwargs["host"] = startup_nodes[0]["host"]
diff --git a/sdk/python/feast/infra/online_stores/sqlite.py b/sdk/python/feast/infra/online_stores/sqlite.py
index 710f4c386a..5657fbe372 100644
--- a/sdk/python/feast/infra/online_stores/sqlite.py
+++ b/sdk/python/feast/infra/online_stores/sqlite.py
@@ -230,7 +230,9 @@ def teardown(
 def _initialize_conn(db_path: str):
     Path(db_path).parent.mkdir(exist_ok=True)
     return sqlite3.connect(
-        db_path, detect_types=sqlite3.PARSE_DECLTYPES | sqlite3.PARSE_COLNAMES,
+        db_path,
+        detect_types=sqlite3.PARSE_DECLTYPES | sqlite3.PARSE_COLNAMES,
+        check_same_thread=False,
     )
 
 
diff --git a/sdk/python/feast/on_demand_feature_view.py b/sdk/python/feast/on_demand_feature_view.py
index 790891b078..a807f3b4a4 100644
--- a/sdk/python/feast/on_demand_feature_view.py
+++ b/sdk/python/feast/on_demand_feature_view.py
@@ -234,14 +234,19 @@ def __copy__(self):
         return fv
 
     def __eq__(self, other):
+        if not isinstance(other, OnDemandFeatureView):
+            raise TypeError(
+                "Comparisons should only involve OnDemandFeatureView class objects."
+            )
+
         if not super().__eq__(other):
             return False
 
         if (
-            not self.source_feature_view_projections
-            == other.source_feature_view_projections
-            or not self.source_request_sources == other.source_request_sources
-            or not self.udf.__code__.co_code == other.udf.__code__.co_code
+            self.source_feature_view_projections
+            != other.source_feature_view_projections
+            or self.source_request_sources != other.source_request_sources
+            or self.udf.__code__.co_code != other.udf.__code__.co_code
         ):
             return False
 
diff --git a/sdk/python/feast/registry.py b/sdk/python/feast/registry.py
index da9c6c6b21..5f5d27318a 100644
--- a/sdk/python/feast/registry.py
+++ b/sdk/python/feast/registry.py
@@ -18,7 +18,7 @@
 from enum import Enum
 from pathlib import Path
 from threading import Lock
-from typing import Any, Dict, List, Optional, Set
+from typing import Any, Dict, List, Optional
 from urllib.parse import urlparse
 
 import dill
@@ -98,7 +98,7 @@ def get_objects_from_registry(
     @staticmethod
     def get_objects_from_repo_contents(
         repo_contents: RepoContents,
-    ) -> Dict["FeastObjectType", Set[Any]]:
+    ) -> Dict["FeastObjectType", List[Any]]:
         return {
             FeastObjectType.DATA_SOURCE: repo_contents.data_sources,
             FeastObjectType.ENTITY: repo_contents.entities,
diff --git a/sdk/python/feast/repo_contents.py b/sdk/python/feast/repo_contents.py
index b59adc34db..4d7c92f2a6 100644
--- a/sdk/python/feast/repo_contents.py
+++ b/sdk/python/feast/repo_contents.py
@@ -11,7 +11,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from typing import NamedTuple, Set
+from typing import List, NamedTuple
 
 from feast.data_source import DataSource
 from feast.entity import Entity
@@ -27,12 +27,12 @@ class RepoContents(NamedTuple):
     Represents the objects in a Feast feature repo.
     """
 
-    data_sources: Set[DataSource]
-    feature_views: Set[FeatureView]
-    on_demand_feature_views: Set[OnDemandFeatureView]
-    request_feature_views: Set[RequestFeatureView]
-    entities: Set[Entity]
-    feature_services: Set[FeatureService]
+    data_sources: List[DataSource]
+    feature_views: List[FeatureView]
+    on_demand_feature_views: List[OnDemandFeatureView]
+    request_feature_views: List[RequestFeatureView]
+    entities: List[Entity]
+    feature_services: List[FeatureService]
 
     def to_registry_proto(self) -> RegistryProto:
         registry_proto = RegistryProto()
diff --git a/sdk/python/feast/repo_operations.py b/sdk/python/feast/repo_operations.py
index 5e223aac8a..40f1a055a9 100644
--- a/sdk/python/feast/repo_operations.py
+++ b/sdk/python/feast/repo_operations.py
@@ -28,9 +28,9 @@
 from feast.usage import log_exceptions_and_usage
 
 
-def py_path_to_module(path: Path, repo_root: Path) -> str:
+def py_path_to_module(path: Path) -> str:
     return (
-        str(path.relative_to(repo_root))[: -len(".py")]
+        str(path.relative_to(os.getcwd()))[: -len(".py")]
         .replace("./", "")
         .replace("/", ".")
     )
@@ -94,36 +94,56 @@ def get_repo_files(repo_root: Path) -> List[Path]:
 
 
 def parse_repo(repo_root: Path) -> RepoContents:
-    """Collect feature table definitions from feature repo"""
+    """
+    Collects unique Feast object definitions from the given feature repo.
+
+    Specifically, if an object foo has already been added, bar will still be added if
+    (bar == foo), but not if (bar is foo). This ensures that import statements will
+    not result in duplicates, but defining two equal objects will.
+    """
     res = RepoContents(
-        data_sources=set(),
-        entities=set(),
-        feature_views=set(),
-        feature_services=set(),
-        on_demand_feature_views=set(),
-        request_feature_views=set(),
+        data_sources=[],
+        entities=[],
+        feature_views=[],
+        feature_services=[],
+        on_demand_feature_views=[],
+        request_feature_views=[],
     )
 
     for repo_file in get_repo_files(repo_root):
-        module_path = py_path_to_module(repo_file, repo_root)
+        module_path = py_path_to_module(repo_file)
         module = importlib.import_module(module_path)
         for attr_name in dir(module):
             obj = getattr(module, attr_name)
-            if isinstance(obj, DataSource):
-                res.data_sources.add(obj)
-            if isinstance(obj, FeatureView):
-                res.feature_views.add(obj)
-                if isinstance(obj.stream_source, PushSource):
-                    res.data_sources.add(obj.stream_source.batch_source)
-            elif isinstance(obj, Entity):
-                res.entities.add(obj)
-            elif isinstance(obj, FeatureService):
-                res.feature_services.add(obj)
-            elif isinstance(obj, OnDemandFeatureView):
-                res.on_demand_feature_views.add(obj)
-            elif isinstance(obj, RequestFeatureView):
-                res.request_feature_views.add(obj)
-    res.entities.add(DUMMY_ENTITY)
+            if isinstance(obj, DataSource) and not any(
+                (obj is ds) for ds in res.data_sources
+            ):
+                res.data_sources.append(obj)
+            if isinstance(obj, FeatureView) and not any(
+                (obj is fv) for fv in res.feature_views
+            ):
+                res.feature_views.append(obj)
+                if isinstance(obj.stream_source, PushSource) and not any(
+                    (obj is ds) for ds in res.data_sources
+                ):
+                    res.data_sources.append(obj.stream_source.batch_source)
+            elif isinstance(obj, Entity) and not any(
+                (obj is entity) for entity in res.entities
+            ):
+                res.entities.append(obj)
+            elif isinstance(obj, FeatureService) and not any(
+                (obj is fs) for fs in res.feature_services
+            ):
+                res.feature_services.append(obj)
+            elif isinstance(obj, OnDemandFeatureView) and not any(
+                (obj is odfv) for odfv in res.on_demand_feature_views
+            ):
+                res.on_demand_feature_views.append(obj)
+            elif isinstance(obj, RequestFeatureView) and not any(
+                (obj is rfv) for rfv in res.request_feature_views
+            ):
+                res.request_feature_views.append(obj)
+    res.entities.append(DUMMY_ENTITY)
     return res
 
 
diff --git a/sdk/python/feast/saved_dataset.py b/sdk/python/feast/saved_dataset.py
index 7a05a9ca22..aead7fe8ef 100644
--- a/sdk/python/feast/saved_dataset.py
+++ b/sdk/python/feast/saved_dataset.py
@@ -92,17 +92,23 @@ def __str__(self):
         return str(MessageToJson(self.to_proto()))
 
     def __hash__(self):
-        return hash((id(self), self.name))
+        return hash((self.name))
 
     def __eq__(self, other):
         if not isinstance(other, SavedDataset):
             raise TypeError(
-                "Comparisons should only involve FeatureService class objects."
+                "Comparisons should only involve SavedDataset class objects."
             )
-        if self.name != other.name:
-            return False
 
-        if sorted(self.features) != sorted(other.features):
+        if (
+            self.name != other.name
+            or sorted(self.features) != sorted(other.features)
+            or sorted(self.join_keys) != sorted(other.join_keys)
+            or self.storage != other.storage
+            or self.full_feature_names != other.full_feature_names
+            or self.tags != other.tags
+            or self.feature_service_name != other.feature_service_name
+        ):
             return False
 
         return True
diff --git a/sdk/python/feast/templates/aws/driver_repo.py b/sdk/python/feast/templates/aws/driver_repo.py
index 19ba44807b..5188f57cf8 100644
--- a/sdk/python/feast/templates/aws/driver_repo.py
+++ b/sdk/python/feast/templates/aws/driver_repo.py
@@ -8,11 +8,11 @@
 # construction of feature vectors
 driver = Entity(
     # Name of the entity. Must be unique within a project
-    name="driver_id",
-    # The join key of an entity describes the storage level field/column on which
-    # features can be looked up. The join key is also used to join feature
+    name="driver",
+    # The join keys of an entity describe the storage level field/column on which
+    # features can be looked up. The join keys are also used to join feature
     # tables/views when building feature vectors
-    join_key="driver_id",
+    join_keys=["driver_id"],
     # The storage level type for an entity
     value_type=ValueType.INT64,
 )
@@ -41,7 +41,7 @@
     # The list of entities specifies the keys required for joining or looking
     # up features from this feature view. The reference provided in this field
     # correspond to the name of a defined entity (or entities)
-    entities=["driver_id"],
+    entities=["driver"],
     # The timedelta is the maximum age that each feature value may have
     # relative to its lookup time. For historical features (used in training),
     # TTL is relative to each timestamp provided in the entity dataframe.
@@ -60,7 +60,7 @@
     # Batch sources are used to find feature values. In the case of this feature
     # view we will query a source table on Redshift for driver statistics
     # features
-    batch_source=driver_stats_source,
+    source=driver_stats_source,
     # Tags are user defined key/value pairs that are attached to each
     # feature view
     tags={"team": "driver_performance"},
diff --git a/sdk/python/feast/templates/gcp/driver_repo.py b/sdk/python/feast/templates/gcp/driver_repo.py
index e494e021f2..7d137f996b 100644
--- a/sdk/python/feast/templates/gcp/driver_repo.py
+++ b/sdk/python/feast/templates/gcp/driver_repo.py
@@ -8,11 +8,11 @@
 # construction of feature vectors
 driver = Entity(
     # Name of the entity. Must be unique within a project
-    name="driver_id",
-    # The join key of an entity describes the storage level field/column on which
-    # features can be looked up. The join key is also used to join feature
+    name="driver",
+    # The join keys of an entity describe the storage level field/column on which
+    # features can be looked up. The join keys are also used to join feature
     # tables/views when building feature vectors
-    join_key="driver_id",
+    join_keys=["driver_id"],
     # The storage level type for an entity
     value_type=ValueType.INT64,
 )
@@ -39,7 +39,7 @@
     # The list of entities specifies the keys required for joining or looking
     # up features from this feature view. The reference provided in this field
     # correspond to the name of a defined entity (or entities)
-    entities=["driver_id"],
+    entities=["driver"],
     # The timedelta is the maximum age that each feature value may have
     # relative to its lookup time. For historical features (used in training),
     # TTL is relative to each timestamp provided in the entity dataframe.
@@ -58,7 +58,7 @@
     # Batch sources are used to find feature values. In the case of this feature
     # view we will query a source table on BigQuery for driver statistics
     # features
-    batch_source=driver_stats_source,
+    source=driver_stats_source,
     # Tags are user defined key/value pairs that are attached to each
     # feature view
     tags={"team": "driver_performance"},
diff --git a/sdk/python/feast/templates/local/example.py b/sdk/python/feast/templates/local/example.py
index 076a331f91..1d441e0e99 100644
--- a/sdk/python/feast/templates/local/example.py
+++ b/sdk/python/feast/templates/local/example.py
@@ -16,14 +16,14 @@
 
 # Define an entity for the driver. You can think of entity as a primary key used to
 # fetch features.
-driver = Entity(name="driver_id", value_type=ValueType.INT64, description="driver id",)
+driver = Entity(name="driver", join_keys=["driver_id"], value_type=ValueType.INT64,)
 
 # Our parquet files contain sample data that includes a driver_id column, timestamps and
 # three feature column. Here we define a Feature View that will allow us to serve this
 # data to our model online.
 driver_hourly_stats_view = FeatureView(
     name="driver_hourly_stats",
-    entities=["driver_id"],
+    entities=["driver"],
     ttl=timedelta(days=1),
     schema=[
         Field(name="conv_rate", dtype=Float32),
@@ -31,6 +31,6 @@
         Field(name="avg_daily_trips", dtype=Int64),
     ],
     online=True,
-    batch_source=driver_hourly_stats,
+    source=driver_hourly_stats,
     tags={},
 )
diff --git a/sdk/python/feast/templates/snowflake/driver_repo.py b/sdk/python/feast/templates/snowflake/driver_repo.py
index c14e4c38cc..ecccb9863b 100644
--- a/sdk/python/feast/templates/snowflake/driver_repo.py
+++ b/sdk/python/feast/templates/snowflake/driver_repo.py
@@ -10,11 +10,11 @@
 # construction of feature vectors
 driver = Entity(
     # Name of the entity. Must be unique within a project
-    name="driver_id",
-    # The join key of an entity describes the storage level field/column on which
-    # features can be looked up. The join key is also used to join feature
+    name="driver",
+    # The join keys of an entity describe the storage level field/column on which
+    # features can be looked up. The join keys are also used to join feature
     # tables/views when building feature vectors
-    join_key="driver_id",
+    join_keys=["driver_id"],
 )
 
 # Indicates a data source from which feature values can be retrieved. Sources are queried when building training
@@ -43,7 +43,7 @@
     # The list of entities specifies the keys required for joining or looking
     # up features from this feature view. The reference provided in this field
     # correspond to the name of a defined entity (or entities)
-    entities=["driver_id"],
+    entities=["driver"],
     # The timedelta is the maximum age that each feature value may have
     # relative to its lookup time. For historical features (used in training),
     # TTL is relative to each timestamp provided in the entity dataframe.
diff --git a/sdk/python/feast/templates/spark/example.py b/sdk/python/feast/templates/spark/example.py
index c8c1c1257e..58f3df740f 100644
--- a/sdk/python/feast/templates/spark/example.py
+++ b/sdk/python/feast/templates/spark/example.py
@@ -16,9 +16,9 @@
 
 
 # Entity definitions
-driver = Entity(name="driver_id", value_type=ValueType.INT64, description="driver id",)
+driver = Entity(name="driver", value_type=ValueType.INT64, description="driver id",)
 customer = Entity(
-    name="customer_id", value_type=ValueType.INT64, description="customer id",
+    name="customer", value_type=ValueType.INT64, description="customer id",
 )
 
 # Sources
@@ -40,7 +40,7 @@
 # Feature Views
 driver_hourly_stats_view = FeatureView(
     name="driver_hourly_stats",
-    entities=["driver_id"],
+    entities=["driver"],
     ttl=timedelta(days=7),
     schema=[
         Field(name="conv_rate", dtype=Float32),
@@ -48,12 +48,12 @@
         Field(name="avg_daily_trips", dtype=Int64),
     ],
     online=True,
-    batch_source=driver_hourly_stats,
+    source=driver_hourly_stats,
     tags={},
 )
 customer_daily_profile_view = FeatureView(
     name="customer_daily_profile",
-    entities=["customer_id"],
+    entities=["customer"],
     ttl=timedelta(days=7),
     schema=[
         Field(name="current_balance", dtype=Float32),
@@ -61,6 +61,6 @@
         Field(name="lifetime_trip_count", dtype=Int64),
     ],
     online=True,
-    batch_source=customer_daily_profile,
+    source=customer_daily_profile,
     tags={},
 )
diff --git a/sdk/python/feast/type_map.py b/sdk/python/feast/type_map.py
index 9798faf508..a94d8aa59b 100644
--- a/sdk/python/feast/type_map.py
+++ b/sdk/python/feast/type_map.py
@@ -529,7 +529,8 @@ def snowflake_python_type_to_feast_value_type(
         "uint8": ValueType.INT32,
         "int8": ValueType.INT32,
         "datetime64[ns]": ValueType.UNIX_TIMESTAMP,
-        "object": ValueType.UNKNOWN,
+        "object": ValueType.STRING,
+        "bool": ValueType.BOOL,
     }
 
     return type_map[snowflake_python_type_as_str.lower()]
diff --git a/sdk/python/requirements/py3.10-ci-requirements.txt b/sdk/python/requirements/py3.10-ci-requirements.txt
index e120f8c58e..346aa6da47 100644
--- a/sdk/python/requirements/py3.10-ci-requirements.txt
+++ b/sdk/python/requirements/py3.10-ci-requirements.txt
@@ -23,20 +23,16 @@ alabaster==0.7.12
 altair==4.2.0
     # via great-expectations
 anyio==3.5.0
-    # via starlette
+    # via
+    #   starlette
+    #   watchgod
 appdirs==1.4.4
     # via black
-appnope==0.1.2
-    # via
-    #   ipykernel
-    #   ipython
-argon2-cffi==21.3.0
-    # via notebook
-argon2-cffi-bindings==21.2.0
-    # via argon2-cffi
+appnope==0.1.3
+    # via ipython
 asgiref==3.5.0
     # via uvicorn
-asn1crypto==1.4.0
+asn1crypto==1.5.1
     # via
     #   oscrypto
     #   snowflake-connector-python
@@ -45,7 +41,9 @@ assertpy==1.1
 asttokens==2.0.5
     # via stack-data
 async-timeout==4.0.2
-    # via aiohttp
+    # via
+    #   aiohttp
+    #   redis
 attrs==21.4.0
     # via
     #   aiohttp
@@ -54,16 +52,16 @@ attrs==21.4.0
     #   pytest
 avro==1.10.0
     # via feast (setup.py)
-azure-core==1.23.0
+azure-core==1.23.1
     # via
     #   adlfs
     #   azure-identity
     #   azure-storage-blob
 azure-datalake-store==0.0.52
     # via adlfs
-azure-identity==1.8.0
+azure-identity==1.9.0
     # via adlfs
-azure-storage-blob==12.9.0
+azure-storage-blob==12.11.0
     # via adlfs
 babel==2.9.1
     # via sphinx
@@ -71,13 +69,11 @@ backcall==0.2.0
     # via ipython
 black==19.10b0
     # via feast (setup.py)
-bleach==4.1.0
-    # via nbconvert
-boto3==1.21.11
+boto3==1.21.41
     # via
     #   feast (setup.py)
     #   moto
-botocore==1.24.11
+botocore==1.24.41
     # via
     #   boto3
     #   moto
@@ -94,7 +90,6 @@ certifi==2021.10.8
     #   snowflake-connector-python
 cffi==1.15.0
     # via
-    #   argon2-cffi-bindings
     #   azure-datalake-store
     #   cryptography
     #   snowflake-connector-python
@@ -105,7 +100,7 @@ charset-normalizer==2.0.12
     #   aiohttp
     #   requests
     #   snowflake-connector-python
-click==8.0.4
+click==8.1.2
     # via
     #   black
     #   feast (setup.py)
@@ -115,30 +110,32 @@ click==8.0.4
 cloudpickle==2.0.0
     # via dask
 colorama==0.4.4
-    # via feast (setup.py)
+    # via
+    #   feast (setup.py)
+    #   great-expectations
 coverage[toml]==6.3.2
     # via pytest-cov
-cryptography==3.3.2
+cryptography==3.4.8
     # via
     #   adal
     #   azure-identity
     #   azure-storage-blob
     #   feast (setup.py)
+    #   great-expectations
     #   moto
     #   msal
-    #   pyjwt
     #   pyopenssl
     #   snowflake-connector-python
 dask==2022.1.1
     # via feast (setup.py)
-debugpy==1.5.1
-    # via ipykernel
+dataclasses==0.6
+    # via great-expectations
 decorator==5.1.1
     # via
     #   gcsfs
     #   ipython
-defusedxml==0.7.1
-    # via nbconvert
+deprecated==1.2.13
+    # via redis
 deprecation==2.1.0
     # via testcontainers
 dill==0.3.4
@@ -154,20 +151,19 @@ docutils==0.17.1
     #   sphinx
     #   sphinx-rtd-theme
 entrypoints==0.4
-    # via
-    #   altair
-    #   jupyter-client
-    #   nbconvert
+    # via altair
 execnet==1.9.0
     # via pytest-xdist
 executing==0.8.3
     # via stack-data
-fastapi==0.74.1
+fastapi==0.75.1
     # via feast (setup.py)
-fastavro==1.4.9
+fastavro==1.4.10
     # via
     #   feast (setup.py)
     #   pandavro
+fastjsonschema==2.15.3
+    # via nbformat
 filelock==3.6.0
     # via virtualenv
 firebase-admin==4.5.2
@@ -178,12 +174,12 @@ frozenlist==1.3.0
     # via
     #   aiohttp
     #   aiosignal
-fsspec==2022.2.0
+fsspec==2022.3.0
     # via
     #   adlfs
     #   dask
     #   gcsfs
-gcsfs==2022.2.0
+gcsfs==2022.3.0
     # via feast (setup.py)
 google-api-core[grpc]==1.31.5
     # via
@@ -195,7 +191,7 @@ google-api-core[grpc]==1.31.5
     #   google-cloud-core
     #   google-cloud-datastore
     #   google-cloud-firestore
-google-api-python-client==2.39.0
+google-api-python-client==2.44.0
     # via firebase-admin
 google-auth==1.35.0
     # via
@@ -208,11 +204,11 @@ google-auth==1.35.0
     #   google-cloud-storage
 google-auth-httplib2==0.1.0
     # via google-api-python-client
-google-auth-oauthlib==0.5.0
+google-auth-oauthlib==0.5.1
     # via gcsfs
-google-cloud-bigquery==2.34.1
+google-cloud-bigquery==2.34.3
     # via feast (setup.py)
-google-cloud-bigquery-storage==2.12.0
+google-cloud-bigquery-storage==2.13.1
     # via feast (setup.py)
 google-cloud-core==1.7.2
     # via
@@ -221,9 +217,9 @@ google-cloud-core==1.7.2
     #   google-cloud-datastore
     #   google-cloud-firestore
     #   google-cloud-storage
-google-cloud-datastore==2.5.0
+google-cloud-datastore==2.5.1
     # via feast (setup.py)
-google-cloud-firestore==2.3.4
+google-cloud-firestore==2.4.0
     # via firebase-admin
 google-cloud-storage==1.40.0
     # via
@@ -241,7 +237,7 @@ googleapis-common-protos==1.52.0
     #   feast (setup.py)
     #   google-api-core
     #   tensorflow-metadata
-great-expectations==0.14.8
+great-expectations==0.14.13
     # via feast (setup.py)
 grpcio==1.44.0
     # via
@@ -265,9 +261,9 @@ httplib2==0.20.4
     # via
     #   google-api-python-client
     #   google-auth-httplib2
-httptools==0.3.0
+httptools==0.4.0
     # via uvicorn
-identify==2.4.11
+identify==2.4.12
     # via pre-commit
 idna==3.3
     # via
@@ -277,24 +273,11 @@ idna==3.3
     #   yarl
 imagesize==1.3.0
     # via sphinx
-importlib-metadata==4.11.2
+importlib-metadata==4.11.3
     # via great-expectations
 iniconfig==1.1.1
     # via pytest
-ipykernel==6.9.1
-    # via
-    #   ipywidgets
-    #   notebook
-ipython==8.1.1
-    # via
-    #   ipykernel
-    #   ipywidgets
-ipython-genutils==0.2.0
-    # via
-    #   ipywidgets
-    #   nbformat
-    #   notebook
-ipywidgets==7.6.5
+ipython==8.2.0
     # via great-expectations
 isodate==0.6.1
     # via msrest
@@ -308,16 +291,14 @@ jinja2==3.0.3
     #   feast (setup.py)
     #   great-expectations
     #   moto
-    #   nbconvert
-    #   notebook
     #   sphinx
-jmespath==0.10.0
+jmespath==1.0.0
     # via
     #   boto3
     #   botocore
 jsonpatch==1.32
     # via great-expectations
-jsonpointer==2.2
+jsonpointer==2.3
     # via jsonpatch
 jsonschema==4.4.0
     # via
@@ -325,44 +306,27 @@ jsonschema==4.4.0
     #   feast (setup.py)
     #   great-expectations
     #   nbformat
-jupyter-client==7.1.2
-    # via
-    #   ipykernel
-    #   nbclient
-    #   notebook
 jupyter-core==4.9.2
-    # via
-    #   jupyter-client
-    #   nbconvert
-    #   nbformat
-    #   notebook
-jupyterlab-pygments==0.1.2
-    # via nbconvert
-jupyterlab-widgets==1.0.2
-    # via ipywidgets
+    # via nbformat
 locket==0.2.1
     # via partd
-markupsafe==2.1.0
+markupsafe==2.1.1
     # via
     #   jinja2
     #   moto
 matplotlib-inline==0.1.3
-    # via
-    #   ipykernel
-    #   ipython
+    # via ipython
 mccabe==0.6.1
     # via flake8
 minio==7.1.0
     # via feast (setup.py)
-mistune==0.8.4
-    # via
-    #   great-expectations
-    #   nbconvert
+mistune==2.0.2
+    # via great-expectations
 mmh3==3.0.0
     # via feast (setup.py)
 mock==2.0.0
     # via feast (setup.py)
-moto==3.0.5
+moto==3.1.4
     # via feast (setup.py)
 msal==1.17.0
     # via
@@ -386,29 +350,13 @@ mypy==0.931
     # via feast (setup.py)
 mypy-extensions==0.4.3
     # via mypy
-mypy-protobuf==3.1.0
-    # via feast (setup.py)
-nbclient==0.5.11
-    # via nbconvert
-nbconvert==6.4.2
-    # via notebook
-nbformat==5.1.3
-    # via
-    #   ipywidgets
-    #   nbclient
-    #   nbconvert
-    #   notebook
-nest-asyncio==1.5.4
-    # via
-    #   ipykernel
-    #   jupyter-client
-    #   nbclient
-    #   notebook
+mypy-protobuf==3.1
+    # via feast (setup.py)
+nbformat==5.3.0
+    # via great-expectations
 nodeenv==1.6.0
     # via pre-commit
-notebook==6.4.10
-    # via widgetsnbextension
-numpy==1.22.2
+numpy==1.22.3
     # via
     #   altair
     #   great-expectations
@@ -418,17 +366,17 @@ numpy==1.22.2
     #   scipy
 oauthlib==3.2.0
     # via requests-oauthlib
-oscrypto==1.2.1
+oscrypto==1.3.0
     # via snowflake-connector-python
 packaging==21.3
     # via
-    #   bleach
     #   dask
     #   deprecation
     #   google-api-core
     #   google-cloud-bigquery
-    #   google-cloud-firestore
+    #   great-expectations
     #   pytest
+    #   redis
     #   sphinx
 pandas==1.3.5
     # via
@@ -439,8 +387,6 @@ pandas==1.3.5
     #   snowflake-connector-python
 pandavro==1.5.2
     # via feast (setup.py)
-pandocfilters==1.5.0
-    # via nbconvert
 parso==0.8.3
     # via jedi
 partd==1.2.0
@@ -455,7 +401,7 @@ pexpect==4.8.0
     # via ipython
 pickleshare==0.7.5
     # via ipython
-pip-tools==6.5.1
+pip-tools==6.6.0
     # via feast (setup.py)
 platformdirs==2.5.1
     # via virtualenv
@@ -463,11 +409,9 @@ pluggy==1.0.0
     # via pytest
 portalocker==2.4.0
     # via msal-extensions
-pre-commit==2.17.0
+pre-commit==2.18.1
     # via feast (setup.py)
-prometheus-client==0.13.1
-    # via notebook
-prompt-toolkit==3.0.28
+prompt-toolkit==3.0.29
     # via ipython
 proto-plus==1.19.6
     # via
@@ -491,9 +435,7 @@ protobuf==3.19.4
 psutil==5.9.0
     # via feast (setup.py)
 ptyprocess==0.7.0
-    # via
-    #   pexpect
-    #   terminado
+    # via pexpect
 pure-eval==0.2.2
     # via stack-data
 py==1.11.0
@@ -514,7 +456,7 @@ pyasn1==0.4.8
     #   rsa
 pyasn1-modules==0.2.8
     # via google-auth
-pybindgen==0.22.0
+pybindgen==0.22.1
     # via feast (setup.py)
 pycodestyle==2.8.0
     # via flake8
@@ -531,8 +473,6 @@ pyflakes==2.4.0
 pygments==2.11.2
     # via
     #   ipython
-    #   jupyterlab-pygments
-    #   nbconvert
     #   sphinx
 pyjwt[crypto]==2.3.0
     # via
@@ -550,7 +490,7 @@ pyrsistent==0.18.1
     # via jsonschema
 pyspark==3.2.1
     # via feast (setup.py)
-pytest==7.0.1
+pytest==7.1.1
     # via
     #   feast (setup.py)
     #   pytest-benchmark
@@ -583,12 +523,11 @@ python-dateutil==2.8.2
     #   botocore
     #   google-cloud-bigquery
     #   great-expectations
-    #   jupyter-client
     #   moto
     #   pandas
-python-dotenv==0.19.2
+python-dotenv==0.20.0
     # via uvicorn
-pytz==2021.3
+pytz==2022.1
     # via
     #   babel
     #   google-api-core
@@ -596,6 +535,7 @@ pytz==2021.3
     #   moto
     #   pandas
     #   snowflake-connector-python
+    #   trino
 pytz-deprecation-shim==0.1.0.post0
     # via tzlocal
 pyyaml==6.0
@@ -604,17 +544,9 @@ pyyaml==6.0
     #   feast (setup.py)
     #   pre-commit
     #   uvicorn
-pyzmq==22.3.0
-    # via
-    #   jupyter-client
-    #   notebook
-redis==3.5.3
-    # via
-    #   feast (setup.py)
-    #   redis-py-cluster
-redis-py-cluster==2.1.3
+redis==4.2.2
     # via feast (setup.py)
-regex==2022.3.2
+regex==2022.3.15
     # via black
 requests==2.27.1
     # via
@@ -636,39 +568,32 @@ requests==2.27.1
     #   responses
     #   snowflake-connector-python
     #   sphinx
+    #   trino
 requests-oauthlib==1.3.1
     # via
     #   google-auth-oauthlib
     #   msrest
-responses==0.18.0
+responses==0.20.0
     # via moto
 rsa==4.8
     # via google-auth
-ruamel.yaml==0.17.17
+ruamel-yaml==0.17.17
     # via great-expectations
-ruamel.yaml.clib==0.2.6
-    # via ruamel.yaml
 s3transfer==0.5.2
     # via boto3
 scipy==1.8.0
     # via great-expectations
-send2trash==1.8.0
-    # via notebook
 six==1.16.0
     # via
     #   absl-py
-    #   asttokens
     #   azure-core
     #   azure-identity
-    #   bleach
-    #   cryptography
     #   google-api-core
     #   google-auth
     #   google-auth-httplib2
     #   google-cloud-core
     #   google-resumable-media
     #   grpcio
-    #   isodate
     #   mock
     #   msrestazure
     #   pandavro
@@ -679,7 +604,7 @@ sniffio==1.2.0
     # via anyio
 snowballstemmer==2.2.0
     # via sphinx
-snowflake-connector-python[pandas]==2.7.4
+snowflake-connector-python[pandas]==2.7.6
     # via feast (setup.py)
 sphinx==4.3.2
     # via
@@ -711,12 +636,8 @@ tensorflow-metadata==1.7.0
     # via feast (setup.py)
 termcolor==1.1.0
     # via great-expectations
-terminado==0.13.2
-    # via notebook
-testcontainers==3.4.2
+testcontainers==3.5.3
     # via feast (setup.py)
-testpath==0.6.0
-    # via nbconvert
 toml==0.10.2
     # via
     #   black
@@ -733,49 +654,39 @@ toolz==0.11.2
     #   altair
     #   dask
     #   partd
-tornado==6.1
-    # via
-    #   ipykernel
-    #   jupyter-client
-    #   notebook
-    #   terminado
-tqdm==4.63.0
+tqdm==4.64.0
     # via
     #   feast (setup.py)
     #   great-expectations
 traitlets==5.1.1
     # via
-    #   ipykernel
     #   ipython
-    #   ipywidgets
-    #   jupyter-client
     #   jupyter-core
     #   matplotlib-inline
-    #   nbclient
-    #   nbconvert
     #   nbformat
-    #   notebook
+trino==0.312.0
+    # via feast (setup.py)
 typed-ast==1.5.2
     # via black
-types-protobuf==3.19.12
+types-protobuf==3.19.15
     # via
     #   feast (setup.py)
     #   mypy-protobuf
-types-python-dateutil==2.8.9
+types-python-dateutil==2.8.10
     # via feast (setup.py)
-types-pytz==2021.3.5
+types-pytz==2021.3.6
     # via feast (setup.py)
-types-pyyaml==6.0.4
+types-pyyaml==6.0.5
     # via feast (setup.py)
-types-redis==4.1.17
+types-redis==4.1.19
     # via feast (setup.py)
-types-requests==2.27.11
+types-requests==2.27.16
     # via feast (setup.py)
-types-setuptools==57.4.9
+types-setuptools==57.4.12
     # via feast (setup.py)
-types-tabulate==0.8.5
+types-tabulate==0.8.6
     # via feast (setup.py)
-types-urllib3==1.26.10
+types-urllib3==1.26.11
     # via types-requests
 typing-extensions==4.1.1
     # via
@@ -783,48 +694,47 @@ typing-extensions==4.1.1
     #   great-expectations
     #   mypy
     #   pydantic
-tzdata==2021.5
+tzdata==2022.1
     # via pytz-deprecation-shim
-tzlocal==4.1
+tzlocal==4.2
     # via great-expectations
 uritemplate==4.1.1
     # via google-api-python-client
-urllib3==1.26.8
+urllib3==1.26.9
     # via
     #   botocore
     #   feast (setup.py)
+    #   great-expectations
     #   minio
     #   requests
     #   responses
-uvicorn[standard]==0.17.5
+uvicorn[standard]==0.17.6
     # via feast (setup.py)
 uvloop==0.16.0
     # via uvicorn
-virtualenv==20.13.2
+virtualenv==20.14.1
     # via pre-commit
-watchgod==0.7
+watchgod==0.8.2
     # via uvicorn
 wcwidth==0.2.5
     # via prompt-toolkit
-webencodings==0.5.1
-    # via bleach
-websocket-client==1.3.1
+websocket-client==1.3.2
     # via docker
 websockets==10.2
     # via uvicorn
-werkzeug==2.0.3
+werkzeug==2.1.1
     # via moto
 wheel==0.37.1
     # via pip-tools
-widgetsnbextension==3.5.2
-    # via ipywidgets
-wrapt==1.13.3
-    # via testcontainers
+wrapt==1.14.0
+    # via
+    #   deprecated
+    #   testcontainers
 xmltodict==0.12.0
     # via moto
 yarl==1.7.2
     # via aiohttp
-zipp==3.7.0
+zipp==3.8.0
     # via importlib-metadata
 
 # The following packages are considered to be unsafe in a requirements file:
diff --git a/sdk/python/requirements/py3.10-requirements.txt b/sdk/python/requirements/py3.10-requirements.txt
index e21a4ba412..455d80b790 100644
--- a/sdk/python/requirements/py3.10-requirements.txt
+++ b/sdk/python/requirements/py3.10-requirements.txt
@@ -7,18 +7,20 @@
 absl-py==1.0.0
     # via tensorflow-metadata
 anyio==3.5.0
-    # via starlette
-asgiref==3.4.1
+    # via
+    #   starlette
+    #   watchgod
+asgiref==3.5.0
     # via uvicorn
 attrs==21.4.0
     # via jsonschema
-cachetools==4.2.4
+cachetools==5.0.0
     # via google-auth
 certifi==2021.10.8
     # via requests
-charset-normalizer==2.0.10
+charset-normalizer==2.0.12
     # via requests
-click==8.0.3
+click==8.1.2
     # via
     #   feast (setup.py)
     #   uvicorn
@@ -30,55 +32,55 @@ dask==2022.1.1
     # via feast (setup.py)
 dill==0.3.4
     # via feast (setup.py)
-fastapi==0.72.0
+fastapi==0.75.1
     # via feast (setup.py)
-fastavro==1.4.9
+fastavro==1.4.10
     # via
     #   feast (setup.py)
     #   pandavro
-fsspec==2022.2.0
+fsspec==2022.3.0
     # via dask
-google-api-core==2.4.0
+google-api-core==2.7.2
     # via feast (setup.py)
-google-auth==2.3.3
+google-auth==2.6.5
     # via google-api-core
 googleapis-common-protos==1.52.0
     # via
     #   feast (setup.py)
     #   google-api-core
     #   tensorflow-metadata
-grpcio==1.43.0
+grpcio==1.44.0
     # via
     #   feast (setup.py)
     #   grpcio-reflection
-grpcio-reflection==1.43.0
+grpcio-reflection==1.44.0
     # via feast (setup.py)
 h11==0.13.0
     # via uvicorn
-httptools==0.3.0
+httptools==0.4.0
     # via uvicorn
 idna==3.3
     # via
     #   anyio
     #   requests
-jinja2==3.0.3
+jinja2==3.1.1
     # via feast (setup.py)
 jsonschema==4.4.0
     # via feast (setup.py)
 locket==0.2.1
     # via partd
-markupsafe==2.0.1
+markupsafe==2.1.1
     # via jinja2
 mmh3==3.0.0
     # via feast (setup.py)
-numpy==1.21.5
+numpy==1.22.3
     # via
     #   pandas
     #   pandavro
     #   pyarrow
 packaging==21.3
     # via dask
-pandas==1.3.5
+pandas==1.4.2
     # via
     #   feast (setup.py)
     #   pandavro
@@ -88,7 +90,7 @@ partd==1.2.0
     # via dask
 proto-plus==1.19.6
     # via feast (setup.py)
-protobuf==3.19.3
+protobuf==3.19.4
     # via
     #   feast (setup.py)
     #   google-api-core
@@ -96,7 +98,7 @@ protobuf==3.19.3
     #   grpcio-reflection
     #   proto-plus
     #   tensorflow-metadata
-pyarrow==6.0.1
+pyarrow==7.0.0
     # via feast (setup.py)
 pyasn1==0.4.8
     # via
@@ -108,15 +110,15 @@ pydantic==1.9.0
     # via
     #   fastapi
     #   feast (setup.py)
-pyparsing==3.0.7
+pyparsing==3.0.8
     # via packaging
 pyrsistent==0.18.1
     # via jsonschema
 python-dateutil==2.8.2
     # via pandas
-python-dotenv==0.19.2
+python-dotenv==0.20.0
     # via uvicorn
-pytz==2021.3
+pytz==2022.1
     # via pandas
 pyyaml==6.0
     # via
@@ -142,7 +144,7 @@ tabulate==0.8.9
     # via feast (setup.py)
 tenacity==8.0.1
     # via feast (setup.py)
-tensorflow-metadata==1.6.0
+tensorflow-metadata==1.7.0
     # via feast (setup.py)
 toml==0.10.2
     # via feast (setup.py)
@@ -150,20 +152,17 @@ toolz==0.11.2
     # via
     #   dask
     #   partd
-tqdm==4.62.3
+tqdm==4.64.0
     # via feast (setup.py)
-typing-extensions==4.0.1
+typing-extensions==4.1.1
     # via pydantic
-urllib3==1.26.8
+urllib3==1.26.9
     # via requests
-uvicorn[standard]==0.17.0
+uvicorn[standard]==0.17.6
     # via feast (setup.py)
 uvloop==0.16.0
     # via uvicorn
-watchgod==0.7
+watchgod==0.8.2
     # via uvicorn
-websockets==10.1
+websockets==10.2
     # via uvicorn
-
-# The following packages are considered to be unsafe in a requirements file:
-# setuptools
diff --git a/sdk/python/requirements/py3.7-ci-requirements.txt b/sdk/python/requirements/py3.7-ci-requirements.txt
index 4ec4bde7c4..224840a6f7 100644
--- a/sdk/python/requirements/py3.7-ci-requirements.txt
+++ b/sdk/python/requirements/py3.7-ci-requirements.txt
@@ -43,7 +43,9 @@ asn1crypto==1.4.0
 assertpy==1.1
     # via feast (setup.py)
 async-timeout==4.0.2
-    # via aiohttp
+    # via
+    #   aiohttp
+    #   redis
 asynctest==0.13.0
     # via aiohttp
 attrs==21.4.0
@@ -122,7 +124,7 @@ colorama==0.4.4
     # via feast (setup.py)
 coverage[toml]==6.3.2
     # via pytest-cov
-cryptography==3.3.2
+cryptography==3.4.8
     # via
     #   adal
     #   azure-identity
@@ -143,6 +145,8 @@ decorator==5.1.1
     #   ipython
 defusedxml==0.7.1
     # via nbconvert
+deprecated==1.2.13
+    # via redis
 deprecation==2.1.0
     # via testcontainers
 dill==0.3.4
@@ -290,6 +294,7 @@ importlib-metadata==4.2.0
     #   pluggy
     #   pre-commit
     #   pytest
+    #   redis
     #   virtualenv
 importlib-resources==5.4.0
     # via jsonschema
@@ -443,6 +448,7 @@ packaging==21.3
     #   google-cloud-bigquery
     #   google-cloud-firestore
     #   pytest
+    #   redis
     #   sphinx
 pandas==1.3.5
     # via
@@ -608,6 +614,7 @@ pytz==2021.3
     #   moto
     #   pandas
     #   snowflake-connector-python
+    #   trino
 pytz-deprecation-shim==0.1.0.post0
     # via tzlocal
 pyyaml==6.0
@@ -620,11 +627,7 @@ pyzmq==22.3.0
     # via
     #   jupyter-client
     #   notebook
-redis==3.5.3
-    # via
-    #   feast (setup.py)
-    #   redis-py-cluster
-redis-py-cluster==2.1.3
+redis==4.2.2
     # via feast (setup.py)
 regex==2022.3.2
     # via black
@@ -648,6 +651,7 @@ requests==2.27.1
     #   responses
     #   snowflake-connector-python
     #   sphinx
+    #   trino
 requests-oauthlib==1.3.1
     # via
     #   google-auth-oauthlib
@@ -672,7 +676,6 @@ six==1.16.0
     #   azure-core
     #   azure-identity
     #   bleach
-    #   cryptography
     #   google-api-core
     #   google-auth
     #   google-auth-httplib2
@@ -722,7 +725,7 @@ termcolor==1.1.0
     # via great-expectations
 terminado==0.13.2
     # via notebook
-testcontainers==3.4.2
+testcontainers==3.5.3
     # via feast (setup.py)
 testpath==0.6.0
     # via nbconvert
@@ -764,6 +767,8 @@ traitlets==5.1.1
     #   nbconvert
     #   nbformat
     #   notebook
+trino==0.312.0
+    # via feast (setup.py)
 typed-ast==1.5.2
     # via
     #   black
@@ -802,6 +807,7 @@ typing-extensions==4.1.1
     #   jsonschema
     #   mypy
     #   pydantic
+    #   redis
     #   starlette
     #   uvicorn
     #   yarl
@@ -841,7 +847,9 @@ wheel==0.37.1
 widgetsnbextension==3.5.2
     # via ipywidgets
 wrapt==1.13.3
-    # via testcontainers
+    # via
+    #   deprecated
+    #   testcontainers
 xmltodict==0.12.0
     # via moto
 yarl==1.7.2
diff --git a/sdk/python/requirements/py3.8-ci-requirements.txt b/sdk/python/requirements/py3.8-ci-requirements.txt
index 5e2da9baa7..34032ef7d2 100644
--- a/sdk/python/requirements/py3.8-ci-requirements.txt
+++ b/sdk/python/requirements/py3.8-ci-requirements.txt
@@ -23,20 +23,16 @@ alabaster==0.7.12
 altair==4.2.0
     # via great-expectations
 anyio==3.5.0
-    # via starlette
+    # via
+    #   starlette
+    #   watchgod
 appdirs==1.4.4
     # via black
-appnope==0.1.2
-    # via
-    #   ipykernel
-    #   ipython
-argon2-cffi==21.3.0
-    # via notebook
-argon2-cffi-bindings==21.2.0
-    # via argon2-cffi
+appnope==0.1.3
+    # via ipython
 asgiref==3.5.0
     # via uvicorn
-asn1crypto==1.4.0
+asn1crypto==1.5.1
     # via
     #   oscrypto
     #   snowflake-connector-python
@@ -45,7 +41,9 @@ assertpy==1.1
 asttokens==2.0.5
     # via stack-data
 async-timeout==4.0.2
-    # via aiohttp
+    # via
+    #   aiohttp
+    #   redis
 attrs==21.4.0
     # via
     #   aiohttp
@@ -54,16 +52,16 @@ attrs==21.4.0
     #   pytest
 avro==1.10.0
     # via feast (setup.py)
-azure-core==1.23.0
+azure-core==1.23.1
     # via
     #   adlfs
     #   azure-identity
     #   azure-storage-blob
 azure-datalake-store==0.0.52
     # via adlfs
-azure-identity==1.8.0
+azure-identity==1.9.0
     # via adlfs
-azure-storage-blob==12.9.0
+azure-storage-blob==12.11.0
     # via adlfs
 babel==2.9.1
     # via sphinx
@@ -75,13 +73,11 @@ backports-zoneinfo==0.2.1
     #   tzlocal
 black==19.10b0
     # via feast (setup.py)
-bleach==4.1.0
-    # via nbconvert
-boto3==1.21.11
+boto3==1.21.41
     # via
     #   feast (setup.py)
     #   moto
-botocore==1.24.11
+botocore==1.24.41
     # via
     #   boto3
     #   moto
@@ -98,7 +94,6 @@ certifi==2021.10.8
     #   snowflake-connector-python
 cffi==1.15.0
     # via
-    #   argon2-cffi-bindings
     #   azure-datalake-store
     #   cryptography
     #   snowflake-connector-python
@@ -109,7 +104,7 @@ charset-normalizer==2.0.12
     #   aiohttp
     #   requests
     #   snowflake-connector-python
-click==8.0.4
+click==8.1.2
     # via
     #   black
     #   feast (setup.py)
@@ -119,30 +114,32 @@ click==8.0.4
 cloudpickle==2.0.0
     # via dask
 colorama==0.4.4
-    # via feast (setup.py)
+    # via
+    #   feast (setup.py)
+    #   great-expectations
 coverage[toml]==6.3.2
     # via pytest-cov
-cryptography==3.3.2
+cryptography==3.4.8
     # via
     #   adal
     #   azure-identity
     #   azure-storage-blob
     #   feast (setup.py)
+    #   great-expectations
     #   moto
     #   msal
-    #   pyjwt
     #   pyopenssl
     #   snowflake-connector-python
 dask==2022.1.1
     # via feast (setup.py)
-debugpy==1.5.1
-    # via ipykernel
+dataclasses==0.6
+    # via great-expectations
 decorator==5.1.1
     # via
     #   gcsfs
     #   ipython
-defusedxml==0.7.1
-    # via nbconvert
+deprecated==1.2.13
+    # via redis
 deprecation==2.1.0
     # via testcontainers
 dill==0.3.4
@@ -158,20 +155,19 @@ docutils==0.17.1
     #   sphinx
     #   sphinx-rtd-theme
 entrypoints==0.4
-    # via
-    #   altair
-    #   jupyter-client
-    #   nbconvert
+    # via altair
 execnet==1.9.0
     # via pytest-xdist
 executing==0.8.3
     # via stack-data
-fastapi==0.74.1
+fastapi==0.75.1
     # via feast (setup.py)
-fastavro==1.4.9
+fastavro==1.4.10
     # via
     #   feast (setup.py)
     #   pandavro
+fastjsonschema==2.15.3
+    # via nbformat
 filelock==3.6.0
     # via virtualenv
 firebase-admin==4.5.2
@@ -182,12 +178,12 @@ frozenlist==1.3.0
     # via
     #   aiohttp
     #   aiosignal
-fsspec==2022.2.0
+fsspec==2022.3.0
     # via
     #   adlfs
     #   dask
     #   gcsfs
-gcsfs==2022.2.0
+gcsfs==2022.3.0
     # via feast (setup.py)
 google-api-core[grpc]==1.31.5
     # via
@@ -199,7 +195,7 @@ google-api-core[grpc]==1.31.5
     #   google-cloud-core
     #   google-cloud-datastore
     #   google-cloud-firestore
-google-api-python-client==2.39.0
+google-api-python-client==2.44.0
     # via firebase-admin
 google-auth==1.35.0
     # via
@@ -212,11 +208,11 @@ google-auth==1.35.0
     #   google-cloud-storage
 google-auth-httplib2==0.1.0
     # via google-api-python-client
-google-auth-oauthlib==0.5.0
+google-auth-oauthlib==0.5.1
     # via gcsfs
-google-cloud-bigquery==2.34.1
+google-cloud-bigquery==2.34.3
     # via feast (setup.py)
-google-cloud-bigquery-storage==2.12.0
+google-cloud-bigquery-storage==2.13.1
     # via feast (setup.py)
 google-cloud-core==1.7.2
     # via
@@ -225,9 +221,9 @@ google-cloud-core==1.7.2
     #   google-cloud-datastore
     #   google-cloud-firestore
     #   google-cloud-storage
-google-cloud-datastore==2.5.0
+google-cloud-datastore==2.5.1
     # via feast (setup.py)
-google-cloud-firestore==2.3.4
+google-cloud-firestore==2.4.0
     # via firebase-admin
 google-cloud-storage==1.40.0
     # via
@@ -245,7 +241,7 @@ googleapis-common-protos==1.52.0
     #   feast (setup.py)
     #   google-api-core
     #   tensorflow-metadata
-great-expectations==0.14.8
+great-expectations==0.14.13
     # via feast (setup.py)
 grpcio==1.44.0
     # via
@@ -269,9 +265,9 @@ httplib2==0.20.4
     # via
     #   google-api-python-client
     #   google-auth-httplib2
-httptools==0.3.0
+httptools==0.4.0
     # via uvicorn
-identify==2.4.11
+identify==2.4.12
     # via pre-commit
 idna==3.3
     # via
@@ -281,26 +277,13 @@ idna==3.3
     #   yarl
 imagesize==1.3.0
     # via sphinx
-importlib-metadata==4.11.2
+importlib-metadata==4.11.3
     # via great-expectations
-importlib-resources==5.4.0
+importlib-resources==5.7.0
     # via jsonschema
 iniconfig==1.1.1
     # via pytest
-ipykernel==6.9.1
-    # via
-    #   ipywidgets
-    #   notebook
-ipython==8.1.1
-    # via
-    #   ipykernel
-    #   ipywidgets
-ipython-genutils==0.2.0
-    # via
-    #   ipywidgets
-    #   nbformat
-    #   notebook
-ipywidgets==7.6.5
+ipython==8.2.0
     # via great-expectations
 isodate==0.6.1
     # via msrest
@@ -314,16 +297,14 @@ jinja2==3.0.3
     #   feast (setup.py)
     #   great-expectations
     #   moto
-    #   nbconvert
-    #   notebook
     #   sphinx
-jmespath==0.10.0
+jmespath==1.0.0
     # via
     #   boto3
     #   botocore
 jsonpatch==1.32
     # via great-expectations
-jsonpointer==2.2
+jsonpointer==2.3
     # via jsonpatch
 jsonschema==4.4.0
     # via
@@ -331,44 +312,27 @@ jsonschema==4.4.0
     #   feast (setup.py)
     #   great-expectations
     #   nbformat
-jupyter-client==7.1.2
-    # via
-    #   ipykernel
-    #   nbclient
-    #   notebook
 jupyter-core==4.9.2
-    # via
-    #   jupyter-client
-    #   nbconvert
-    #   nbformat
-    #   notebook
-jupyterlab-pygments==0.1.2
-    # via nbconvert
-jupyterlab-widgets==1.0.2
-    # via ipywidgets
+    # via nbformat
 locket==0.2.1
     # via partd
-markupsafe==2.1.0
+markupsafe==2.1.1
     # via
     #   jinja2
     #   moto
 matplotlib-inline==0.1.3
-    # via
-    #   ipykernel
-    #   ipython
+    # via ipython
 mccabe==0.6.1
     # via flake8
 minio==7.1.0
     # via feast (setup.py)
-mistune==0.8.4
-    # via
-    #   great-expectations
-    #   nbconvert
+mistune==2.0.2
+    # via great-expectations
 mmh3==3.0.0
     # via feast (setup.py)
 mock==2.0.0
     # via feast (setup.py)
-moto==3.0.5
+moto==3.1.4
     # via feast (setup.py)
 msal==1.17.0
     # via
@@ -392,29 +356,13 @@ mypy==0.931
     # via feast (setup.py)
 mypy-extensions==0.4.3
     # via mypy
-mypy-protobuf==3.1.0
-    # via feast (setup.py)
-nbclient==0.5.11
-    # via nbconvert
-nbconvert==6.4.2
-    # via notebook
-nbformat==5.1.3
-    # via
-    #   ipywidgets
-    #   nbclient
-    #   nbconvert
-    #   notebook
-nest-asyncio==1.5.4
-    # via
-    #   ipykernel
-    #   jupyter-client
-    #   nbclient
-    #   notebook
+mypy-protobuf==3.1
+    # via feast (setup.py)
+nbformat==5.3.0
+    # via great-expectations
 nodeenv==1.6.0
     # via pre-commit
-notebook==6.4.10
-    # via widgetsnbextension
-numpy==1.22.2
+numpy==1.22.3
     # via
     #   altair
     #   great-expectations
@@ -424,17 +372,17 @@ numpy==1.22.2
     #   scipy
 oauthlib==3.2.0
     # via requests-oauthlib
-oscrypto==1.2.1
+oscrypto==1.3.0
     # via snowflake-connector-python
 packaging==21.3
     # via
-    #   bleach
     #   dask
     #   deprecation
     #   google-api-core
     #   google-cloud-bigquery
-    #   google-cloud-firestore
+    #   great-expectations
     #   pytest
+    #   redis
     #   sphinx
 pandas==1.3.5
     # via
@@ -445,8 +393,6 @@ pandas==1.3.5
     #   snowflake-connector-python
 pandavro==1.5.2
     # via feast (setup.py)
-pandocfilters==1.5.0
-    # via nbconvert
 parso==0.8.3
     # via jedi
 partd==1.2.0
@@ -461,7 +407,7 @@ pexpect==4.8.0
     # via ipython
 pickleshare==0.7.5
     # via ipython
-pip-tools==6.5.1
+pip-tools==6.6.0
     # via feast (setup.py)
 platformdirs==2.5.1
     # via virtualenv
@@ -469,11 +415,9 @@ pluggy==1.0.0
     # via pytest
 portalocker==2.4.0
     # via msal-extensions
-pre-commit==2.17.0
+pre-commit==2.18.1
     # via feast (setup.py)
-prometheus-client==0.13.1
-    # via notebook
-prompt-toolkit==3.0.28
+prompt-toolkit==3.0.29
     # via ipython
 proto-plus==1.19.6
     # via
@@ -497,9 +441,7 @@ protobuf==3.19.4
 psutil==5.9.0
     # via feast (setup.py)
 ptyprocess==0.7.0
-    # via
-    #   pexpect
-    #   terminado
+    # via pexpect
 pure-eval==0.2.2
     # via stack-data
 py==1.11.0
@@ -520,7 +462,7 @@ pyasn1==0.4.8
     #   rsa
 pyasn1-modules==0.2.8
     # via google-auth
-pybindgen==0.22.0
+pybindgen==0.22.1
     # via feast (setup.py)
 pycodestyle==2.8.0
     # via flake8
@@ -537,8 +479,6 @@ pyflakes==2.4.0
 pygments==2.11.2
     # via
     #   ipython
-    #   jupyterlab-pygments
-    #   nbconvert
     #   sphinx
 pyjwt[crypto]==2.3.0
     # via
@@ -556,7 +496,7 @@ pyrsistent==0.18.1
     # via jsonschema
 pyspark==3.2.1
     # via feast (setup.py)
-pytest==7.0.1
+pytest==7.1.1
     # via
     #   feast (setup.py)
     #   pytest-benchmark
@@ -589,12 +529,11 @@ python-dateutil==2.8.2
     #   botocore
     #   google-cloud-bigquery
     #   great-expectations
-    #   jupyter-client
     #   moto
     #   pandas
-python-dotenv==0.19.2
+python-dotenv==0.20.0
     # via uvicorn
-pytz==2021.3
+pytz==2022.1
     # via
     #   babel
     #   google-api-core
@@ -602,6 +541,7 @@ pytz==2021.3
     #   moto
     #   pandas
     #   snowflake-connector-python
+    #   trino
 pytz-deprecation-shim==0.1.0.post0
     # via tzlocal
 pyyaml==6.0
@@ -610,17 +550,9 @@ pyyaml==6.0
     #   feast (setup.py)
     #   pre-commit
     #   uvicorn
-pyzmq==22.3.0
-    # via
-    #   jupyter-client
-    #   notebook
-redis==3.5.3
-    # via
-    #   feast (setup.py)
-    #   redis-py-cluster
-redis-py-cluster==2.1.3
+redis==4.2.2
     # via feast (setup.py)
-regex==2022.3.2
+regex==2022.3.15
     # via black
 requests==2.27.1
     # via
@@ -642,39 +574,34 @@ requests==2.27.1
     #   responses
     #   snowflake-connector-python
     #   sphinx
+    #   trino
 requests-oauthlib==1.3.1
     # via
     #   google-auth-oauthlib
     #   msrest
-responses==0.18.0
+responses==0.20.0
     # via moto
 rsa==4.8
     # via google-auth
 ruamel-yaml==0.17.17
     # via great-expectations
-ruamel.yaml.clib==0.2.6
-    # via ruamel.yaml
+ruamel-yaml-clib==0.2.6
+    # via ruamel-yaml
 s3transfer==0.5.2
     # via boto3
 scipy==1.8.0
     # via great-expectations
-send2trash==1.8.0
-    # via notebook
 six==1.16.0
     # via
     #   absl-py
-    #   asttokens
     #   azure-core
     #   azure-identity
-    #   bleach
-    #   cryptography
     #   google-api-core
     #   google-auth
     #   google-auth-httplib2
     #   google-cloud-core
     #   google-resumable-media
     #   grpcio
-    #   isodate
     #   mock
     #   msrestazure
     #   pandavro
@@ -685,7 +612,7 @@ sniffio==1.2.0
     # via anyio
 snowballstemmer==2.2.0
     # via sphinx
-snowflake-connector-python[pandas]==2.7.4
+snowflake-connector-python[pandas]==2.7.6
     # via feast (setup.py)
 sphinx==4.3.2
     # via
@@ -717,12 +644,8 @@ tensorflow-metadata==1.7.0
     # via feast (setup.py)
 termcolor==1.1.0
     # via great-expectations
-terminado==0.13.2
-    # via notebook
-testcontainers==3.4.2
+testcontainers==3.5.3
     # via feast (setup.py)
-testpath==0.6.0
-    # via nbconvert
 toml==0.10.2
     # via
     #   black
@@ -739,49 +662,39 @@ toolz==0.11.2
     #   altair
     #   dask
     #   partd
-tornado==6.1
-    # via
-    #   ipykernel
-    #   jupyter-client
-    #   notebook
-    #   terminado
-tqdm==4.63.0
+tqdm==4.64.0
     # via
     #   feast (setup.py)
     #   great-expectations
 traitlets==5.1.1
     # via
-    #   ipykernel
     #   ipython
-    #   ipywidgets
-    #   jupyter-client
     #   jupyter-core
     #   matplotlib-inline
-    #   nbclient
-    #   nbconvert
     #   nbformat
-    #   notebook
+trino==0.312.0
+    # via feast (setup.py)
 typed-ast==1.5.2
     # via black
-types-protobuf==3.19.12
+types-protobuf==3.19.15
     # via
     #   feast (setup.py)
     #   mypy-protobuf
-types-python-dateutil==2.8.9
+types-python-dateutil==2.8.10
     # via feast (setup.py)
-types-pytz==2021.3.5
+types-pytz==2021.3.6
     # via feast (setup.py)
-types-pyyaml==6.0.4
+types-pyyaml==6.0.5
     # via feast (setup.py)
-types-redis==4.1.17
+types-redis==4.1.19
     # via feast (setup.py)
-types-requests==2.27.11
+types-requests==2.27.16
     # via feast (setup.py)
-types-setuptools==57.4.9
+types-setuptools==57.4.12
     # via feast (setup.py)
-types-tabulate==0.8.5
+types-tabulate==0.8.6
     # via feast (setup.py)
-types-urllib3==1.26.10
+types-urllib3==1.26.11
     # via types-requests
 typing-extensions==4.1.1
     # via
@@ -789,52 +702,51 @@ typing-extensions==4.1.1
     #   great-expectations
     #   mypy
     #   pydantic
-tzdata==2021.5
+tzdata==2022.1
     # via pytz-deprecation-shim
-tzlocal==4.1
+tzlocal==4.2
     # via great-expectations
 uritemplate==4.1.1
     # via google-api-python-client
-urllib3==1.26.8
+urllib3==1.26.9
     # via
     #   botocore
     #   feast (setup.py)
+    #   great-expectations
     #   minio
     #   requests
     #   responses
-uvicorn[standard]==0.17.5
+uvicorn[standard]==0.17.6
     # via feast (setup.py)
 uvloop==0.16.0
     # via uvicorn
-virtualenv==20.13.2
+virtualenv==20.14.1
     # via pre-commit
-watchgod==0.7
+watchgod==0.8.2
     # via uvicorn
 wcwidth==0.2.5
     # via prompt-toolkit
-webencodings==0.5.1
-    # via bleach
-websocket-client==1.3.1
+websocket-client==1.3.2
     # via docker
 websockets==10.2
     # via uvicorn
-werkzeug==2.0.3
+werkzeug==2.1.1
     # via moto
 wheel==0.37.1
     # via pip-tools
-widgetsnbextension==3.5.2
-    # via ipywidgets
-wrapt==1.13.3
-    # via testcontainers
+wrapt==1.14.0
+    # via
+    #   deprecated
+    #   testcontainers
 xmltodict==0.12.0
     # via moto
 yarl==1.7.2
     # via aiohttp
-zipp==3.7.0
+zipp==3.8.0
     # via
     #   importlib-metadata
     #   importlib-resources
 
 # The following packages are considered to be unsafe in a requirements file:
 # pip
-# setuptools
\ No newline at end of file
+# setuptools
diff --git a/sdk/python/requirements/py3.8-requirements.txt b/sdk/python/requirements/py3.8-requirements.txt
index 4b996ef075..9000c7b1f7 100644
--- a/sdk/python/requirements/py3.8-requirements.txt
+++ b/sdk/python/requirements/py3.8-requirements.txt
@@ -7,18 +7,20 @@
 absl-py==1.0.0
     # via tensorflow-metadata
 anyio==3.5.0
-    # via starlette
-asgiref==3.4.1
+    # via
+    #   starlette
+    #   watchgod
+asgiref==3.5.0
     # via uvicorn
 attrs==21.4.0
     # via jsonschema
-cachetools==4.2.4
+cachetools==5.0.0
     # via google-auth
 certifi==2021.10.8
     # via requests
-charset-normalizer==2.0.10
+charset-normalizer==2.0.12
     # via requests
-click==8.0.3
+click==8.1.2
     # via
     #   feast (setup.py)
     #   uvicorn
@@ -30,57 +32,57 @@ dask==2022.1.1
     # via feast (setup.py)
 dill==0.3.4
     # via feast (setup.py)
-fastapi==0.72.0
+fastapi==0.75.1
     # via feast (setup.py)
-fastavro==1.4.9
+fastavro==1.4.10
     # via
     #   feast (setup.py)
     #   pandavro
-fsspec==2022.2.0
+fsspec==2022.3.0
     # via dask
-google-api-core==2.4.0
+google-api-core==2.7.2
     # via feast (setup.py)
-google-auth==2.3.3
+google-auth==2.6.5
     # via google-api-core
 googleapis-common-protos==1.52.0
     # via
     #   feast (setup.py)
     #   google-api-core
     #   tensorflow-metadata
-grpcio==1.43.0
+grpcio==1.44.0
     # via
     #   feast (setup.py)
     #   grpcio-reflection
-grpcio-reflection==1.43.0
+grpcio-reflection==1.44.0
     # via feast (setup.py)
 h11==0.13.0
     # via uvicorn
-httptools==0.3.0
+httptools==0.4.0
     # via uvicorn
 idna==3.3
     # via
     #   anyio
     #   requests
-importlib-resources==5.4.0
+importlib-resources==5.7.0
     # via jsonschema
-jinja2==3.0.3
+jinja2==3.1.1
     # via feast (setup.py)
 jsonschema==4.4.0
     # via feast (setup.py)
 locket==0.2.1
     # via partd
-markupsafe==2.0.1
+markupsafe==2.1.1
     # via jinja2
 mmh3==3.0.0
     # via feast (setup.py)
-numpy==1.21.5
+numpy==1.22.3
     # via
     #   pandas
     #   pandavro
     #   pyarrow
 packaging==21.3
     # via dask
-pandas==1.3.5
+pandas==1.4.2
     # via
     #   feast (setup.py)
     #   pandavro
@@ -90,7 +92,7 @@ partd==1.2.0
     # via dask
 proto-plus==1.19.6
     # via feast (setup.py)
-protobuf==3.19.3
+protobuf==3.19.4
     # via
     #   feast (setup.py)
     #   google-api-core
@@ -98,7 +100,7 @@ protobuf==3.19.3
     #   grpcio-reflection
     #   proto-plus
     #   tensorflow-metadata
-pyarrow==6.0.1
+pyarrow==7.0.0
     # via feast (setup.py)
 pyasn1==0.4.8
     # via
@@ -110,15 +112,15 @@ pydantic==1.9.0
     # via
     #   fastapi
     #   feast (setup.py)
-pyparsing==3.0.7
+pyparsing==3.0.8
     # via packaging
 pyrsistent==0.18.1
     # via jsonschema
 python-dateutil==2.8.2
     # via pandas
-python-dotenv==0.19.2
+python-dotenv==0.20.0
     # via uvicorn
-pytz==2021.3
+pytz==2022.1
     # via pandas
 pyyaml==6.0
     # via
@@ -144,7 +146,7 @@ tabulate==0.8.9
     # via feast (setup.py)
 tenacity==8.0.1
     # via feast (setup.py)
-tensorflow-metadata==1.6.0
+tensorflow-metadata==1.7.0
     # via feast (setup.py)
 toml==0.10.2
     # via feast (setup.py)
@@ -152,22 +154,19 @@ toolz==0.11.2
     # via
     #   dask
     #   partd
-tqdm==4.62.3
+tqdm==4.64.0
     # via feast (setup.py)
-typing-extensions==4.0.1
+typing-extensions==4.1.1
     # via pydantic
-urllib3==1.26.8
+urllib3==1.26.9
     # via requests
-uvicorn[standard]==0.17.0
+uvicorn[standard]==0.17.6
     # via feast (setup.py)
 uvloop==0.16.0
     # via uvicorn
-watchgod==0.7
+watchgod==0.8.2
     # via uvicorn
-websockets==10.1
+websockets==10.2
     # via uvicorn
-zipp==3.7.0
+zipp==3.8.0
     # via importlib-resources
-
-# The following packages are considered to be unsafe in a requirements file:
-# setuptools
diff --git a/sdk/python/requirements/py3.9-ci-requirements.txt b/sdk/python/requirements/py3.9-ci-requirements.txt
index cf228b9412..1ab910a16d 100644
--- a/sdk/python/requirements/py3.9-ci-requirements.txt
+++ b/sdk/python/requirements/py3.9-ci-requirements.txt
@@ -23,20 +23,16 @@ alabaster==0.7.12
 altair==4.2.0
     # via great-expectations
 anyio==3.5.0
-    # via starlette
+    # via
+    #   starlette
+    #   watchgod
 appdirs==1.4.4
     # via black
-appnope==0.1.2
-    # via
-    #   ipykernel
-    #   ipython
-argon2-cffi==21.3.0
-    # via notebook
-argon2-cffi-bindings==21.2.0
-    # via argon2-cffi
+appnope==0.1.3
+    # via ipython
 asgiref==3.5.0
     # via uvicorn
-asn1crypto==1.4.0
+asn1crypto==1.5.1
     # via
     #   oscrypto
     #   snowflake-connector-python
@@ -45,7 +41,9 @@ assertpy==1.1
 asttokens==2.0.5
     # via stack-data
 async-timeout==4.0.2
-    # via aiohttp
+    # via
+    #   aiohttp
+    #   redis
 attrs==21.4.0
     # via
     #   aiohttp
@@ -54,16 +52,16 @@ attrs==21.4.0
     #   pytest
 avro==1.10.0
     # via feast (setup.py)
-azure-core==1.23.0
+azure-core==1.23.1
     # via
     #   adlfs
     #   azure-identity
     #   azure-storage-blob
 azure-datalake-store==0.0.52
     # via adlfs
-azure-identity==1.8.0
+azure-identity==1.9.0
     # via adlfs
-azure-storage-blob==12.9.0
+azure-storage-blob==12.11.0
     # via adlfs
 babel==2.9.1
     # via sphinx
@@ -71,13 +69,11 @@ backcall==0.2.0
     # via ipython
 black==19.10b0
     # via feast (setup.py)
-bleach==4.1.0
-    # via nbconvert
-boto3==1.21.11
+boto3==1.21.41
     # via
     #   feast (setup.py)
     #   moto
-botocore==1.24.11
+botocore==1.24.41
     # via
     #   boto3
     #   moto
@@ -94,7 +90,6 @@ certifi==2021.10.8
     #   snowflake-connector-python
 cffi==1.15.0
     # via
-    #   argon2-cffi-bindings
     #   azure-datalake-store
     #   cryptography
     #   snowflake-connector-python
@@ -105,7 +100,7 @@ charset-normalizer==2.0.12
     #   aiohttp
     #   requests
     #   snowflake-connector-python
-click==8.0.4
+click==8.1.2
     # via
     #   black
     #   feast (setup.py)
@@ -115,30 +110,32 @@ click==8.0.4
 cloudpickle==2.0.0
     # via dask
 colorama==0.4.4
-    # via feast (setup.py)
+    # via
+    #   feast (setup.py)
+    #   great-expectations
 coverage[toml]==6.3.2
     # via pytest-cov
-cryptography==3.3.2
+cryptography==3.4.8
     # via
     #   adal
     #   azure-identity
     #   azure-storage-blob
     #   feast (setup.py)
+    #   great-expectations
     #   moto
     #   msal
-    #   pyjwt
     #   pyopenssl
     #   snowflake-connector-python
 dask==2022.1.1
     # via feast (setup.py)
-debugpy==1.5.1
-    # via ipykernel
+dataclasses==0.6
+    # via great-expectations
 decorator==5.1.1
     # via
     #   gcsfs
     #   ipython
-defusedxml==0.7.1
-    # via nbconvert
+deprecated==1.2.13
+    # via redis
 deprecation==2.1.0
     # via testcontainers
 dill==0.3.4
@@ -154,20 +151,19 @@ docutils==0.17.1
     #   sphinx
     #   sphinx-rtd-theme
 entrypoints==0.4
-    # via
-    #   altair
-    #   jupyter-client
-    #   nbconvert
+    # via altair
 execnet==1.9.0
     # via pytest-xdist
 executing==0.8.3
     # via stack-data
-fastapi==0.74.1
+fastapi==0.75.1
     # via feast (setup.py)
-fastavro==1.4.9
+fastavro==1.4.10
     # via
     #   feast (setup.py)
     #   pandavro
+fastjsonschema==2.15.3
+    # via nbformat
 filelock==3.6.0
     # via virtualenv
 firebase-admin==4.5.2
@@ -178,12 +174,12 @@ frozenlist==1.3.0
     # via
     #   aiohttp
     #   aiosignal
-fsspec==2022.2.0
+fsspec==2022.3.0
     # via
     #   adlfs
     #   dask
     #   gcsfs
-gcsfs==2022.2.0
+gcsfs==2022.3.0
     # via feast (setup.py)
 google-api-core[grpc]==1.31.5
     # via
@@ -195,7 +191,7 @@ google-api-core[grpc]==1.31.5
     #   google-cloud-core
     #   google-cloud-datastore
     #   google-cloud-firestore
-google-api-python-client==2.39.0
+google-api-python-client==2.44.0
     # via firebase-admin
 google-auth==1.35.0
     # via
@@ -208,11 +204,11 @@ google-auth==1.35.0
     #   google-cloud-storage
 google-auth-httplib2==0.1.0
     # via google-api-python-client
-google-auth-oauthlib==0.5.0
+google-auth-oauthlib==0.5.1
     # via gcsfs
-google-cloud-bigquery==2.34.1
+google-cloud-bigquery==2.34.3
     # via feast (setup.py)
-google-cloud-bigquery-storage==2.12.0
+google-cloud-bigquery-storage==2.13.1
     # via feast (setup.py)
 google-cloud-core==1.7.2
     # via
@@ -221,9 +217,9 @@ google-cloud-core==1.7.2
     #   google-cloud-datastore
     #   google-cloud-firestore
     #   google-cloud-storage
-google-cloud-datastore==2.5.0
+google-cloud-datastore==2.5.1
     # via feast (setup.py)
-google-cloud-firestore==2.3.4
+google-cloud-firestore==2.4.0
     # via firebase-admin
 google-cloud-storage==1.40.0
     # via
@@ -241,7 +237,7 @@ googleapis-common-protos==1.52.0
     #   feast (setup.py)
     #   google-api-core
     #   tensorflow-metadata
-great-expectations==0.14.8
+great-expectations==0.14.13
     # via feast (setup.py)
 grpcio==1.44.0
     # via
@@ -265,9 +261,9 @@ httplib2==0.20.4
     # via
     #   google-api-python-client
     #   google-auth-httplib2
-httptools==0.3.0
+httptools==0.4.0
     # via uvicorn
-identify==2.4.11
+identify==2.4.12
     # via pre-commit
 idna==3.3
     # via
@@ -277,24 +273,11 @@ idna==3.3
     #   yarl
 imagesize==1.3.0
     # via sphinx
-importlib-metadata==4.11.2
+importlib-metadata==4.11.3
     # via great-expectations
 iniconfig==1.1.1
     # via pytest
-ipykernel==6.9.1
-    # via
-    #   ipywidgets
-    #   notebook
-ipython==8.1.1
-    # via
-    #   ipykernel
-    #   ipywidgets
-ipython-genutils==0.2.0
-    # via
-    #   ipywidgets
-    #   nbformat
-    #   notebook
-ipywidgets==7.6.5
+ipython==8.2.0
     # via great-expectations
 isodate==0.6.1
     # via msrest
@@ -308,16 +291,14 @@ jinja2==3.0.3
     #   feast (setup.py)
     #   great-expectations
     #   moto
-    #   nbconvert
-    #   notebook
     #   sphinx
-jmespath==0.10.0
+jmespath==1.0.0
     # via
     #   boto3
     #   botocore
 jsonpatch==1.32
     # via great-expectations
-jsonpointer==2.2
+jsonpointer==2.3
     # via jsonpatch
 jsonschema==4.4.0
     # via
@@ -325,44 +306,27 @@ jsonschema==4.4.0
     #   feast (setup.py)
     #   great-expectations
     #   nbformat
-jupyter-client==7.1.2
-    # via
-    #   ipykernel
-    #   nbclient
-    #   notebook
 jupyter-core==4.9.2
-    # via
-    #   jupyter-client
-    #   nbconvert
-    #   nbformat
-    #   notebook
-jupyterlab-pygments==0.1.2
-    # via nbconvert
-jupyterlab-widgets==1.0.2
-    # via ipywidgets
+    # via nbformat
 locket==0.2.1
     # via partd
-markupsafe==2.1.0
+markupsafe==2.1.1
     # via
     #   jinja2
     #   moto
 matplotlib-inline==0.1.3
-    # via
-    #   ipykernel
-    #   ipython
+    # via ipython
 mccabe==0.6.1
     # via flake8
 minio==7.1.0
     # via feast (setup.py)
-mistune==0.8.4
-    # via
-    #   great-expectations
-    #   nbconvert
+mistune==2.0.2
+    # via great-expectations
 mmh3==3.0.0
     # via feast (setup.py)
 mock==2.0.0
     # via feast (setup.py)
-moto==3.0.5
+moto==3.1.4
     # via feast (setup.py)
 msal==1.17.0
     # via
@@ -386,29 +350,13 @@ mypy==0.931
     # via feast (setup.py)
 mypy-extensions==0.4.3
     # via mypy
-mypy-protobuf==3.1.0
-    # via feast (setup.py)
-nbclient==0.5.11
-    # via nbconvert
-nbconvert==6.4.2
-    # via notebook
-nbformat==5.1.3
-    # via
-    #   ipywidgets
-    #   nbclient
-    #   nbconvert
-    #   notebook
-nest-asyncio==1.5.4
-    # via
-    #   ipykernel
-    #   jupyter-client
-    #   nbclient
-    #   notebook
+mypy-protobuf==3.1
+    # via feast (setup.py)
+nbformat==5.3.0
+    # via great-expectations
 nodeenv==1.6.0
     # via pre-commit
-notebook==6.4.10
-    # via widgetsnbextension
-numpy==1.22.2
+numpy==1.22.3
     # via
     #   altair
     #   great-expectations
@@ -418,17 +366,17 @@ numpy==1.22.2
     #   scipy
 oauthlib==3.2.0
     # via requests-oauthlib
-oscrypto==1.2.1
+oscrypto==1.3.0
     # via snowflake-connector-python
 packaging==21.3
     # via
-    #   bleach
     #   dask
     #   deprecation
     #   google-api-core
     #   google-cloud-bigquery
-    #   google-cloud-firestore
+    #   great-expectations
     #   pytest
+    #   redis
     #   sphinx
 pandas==1.3.5
     # via
@@ -439,8 +387,6 @@ pandas==1.3.5
     #   snowflake-connector-python
 pandavro==1.5.2
     # via feast (setup.py)
-pandocfilters==1.5.0
-    # via nbconvert
 parso==0.8.3
     # via jedi
 partd==1.2.0
@@ -455,7 +401,7 @@ pexpect==4.8.0
     # via ipython
 pickleshare==0.7.5
     # via ipython
-pip-tools==6.5.1
+pip-tools==6.6.0
     # via feast (setup.py)
 platformdirs==2.5.1
     # via virtualenv
@@ -463,11 +409,9 @@ pluggy==1.0.0
     # via pytest
 portalocker==2.4.0
     # via msal-extensions
-pre-commit==2.17.0
+pre-commit==2.18.1
     # via feast (setup.py)
-prometheus-client==0.13.1
-    # via notebook
-prompt-toolkit==3.0.28
+prompt-toolkit==3.0.29
     # via ipython
 proto-plus==1.19.6
     # via
@@ -491,9 +435,7 @@ protobuf==3.19.4
 psutil==5.9.0
     # via feast (setup.py)
 ptyprocess==0.7.0
-    # via
-    #   pexpect
-    #   terminado
+    # via pexpect
 pure-eval==0.2.2
     # via stack-data
 py==1.11.0
@@ -514,7 +456,7 @@ pyasn1==0.4.8
     #   rsa
 pyasn1-modules==0.2.8
     # via google-auth
-pybindgen==0.22.0
+pybindgen==0.22.1
     # via feast (setup.py)
 pycodestyle==2.8.0
     # via flake8
@@ -531,8 +473,6 @@ pyflakes==2.4.0
 pygments==2.11.2
     # via
     #   ipython
-    #   jupyterlab-pygments
-    #   nbconvert
     #   sphinx
 pyjwt[crypto]==2.3.0
     # via
@@ -550,7 +490,7 @@ pyrsistent==0.18.1
     # via jsonschema
 pyspark==3.2.1
     # via feast (setup.py)
-pytest==7.0.1
+pytest==7.1.1
     # via
     #   feast (setup.py)
     #   pytest-benchmark
@@ -583,12 +523,11 @@ python-dateutil==2.8.2
     #   botocore
     #   google-cloud-bigquery
     #   great-expectations
-    #   jupyter-client
     #   moto
     #   pandas
-python-dotenv==0.19.2
+python-dotenv==0.20.0
     # via uvicorn
-pytz==2021.3
+pytz==2022.1
     # via
     #   babel
     #   google-api-core
@@ -596,6 +535,7 @@ pytz==2021.3
     #   moto
     #   pandas
     #   snowflake-connector-python
+    #   trino
 pytz-deprecation-shim==0.1.0.post0
     # via tzlocal
 pyyaml==6.0
@@ -604,17 +544,9 @@ pyyaml==6.0
     #   feast (setup.py)
     #   pre-commit
     #   uvicorn
-pyzmq==22.3.0
-    # via
-    #   jupyter-client
-    #   notebook
-redis==3.5.3
-    # via
-    #   feast (setup.py)
-    #   redis-py-cluster
-redis-py-cluster==2.1.3
+redis==4.2.2
     # via feast (setup.py)
-regex==2022.3.2
+regex==2022.3.15
     # via black
 requests==2.27.1
     # via
@@ -636,39 +568,34 @@ requests==2.27.1
     #   responses
     #   snowflake-connector-python
     #   sphinx
+    #   trino
 requests-oauthlib==1.3.1
     # via
     #   google-auth-oauthlib
     #   msrest
-responses==0.18.0
+responses==0.20.0
     # via moto
 rsa==4.8
     # via google-auth
-ruamel.yaml==0.17.17
+ruamel-yaml==0.17.17
     # via great-expectations
-ruamel.yaml.clib==0.2.6
-    # via ruamel.yaml
+ruamel-yaml-clib==0.2.6
+    # via ruamel-yaml
 s3transfer==0.5.2
     # via boto3
 scipy==1.8.0
     # via great-expectations
-send2trash==1.8.0
-    # via notebook
 six==1.16.0
     # via
     #   absl-py
-    #   asttokens
     #   azure-core
     #   azure-identity
-    #   bleach
-    #   cryptography
     #   google-api-core
     #   google-auth
     #   google-auth-httplib2
     #   google-cloud-core
     #   google-resumable-media
     #   grpcio
-    #   isodate
     #   mock
     #   msrestazure
     #   pandavro
@@ -679,7 +606,7 @@ sniffio==1.2.0
     # via anyio
 snowballstemmer==2.2.0
     # via sphinx
-snowflake-connector-python[pandas]==2.7.4
+snowflake-connector-python[pandas]==2.7.6
     # via feast (setup.py)
 sphinx==4.3.2
     # via
@@ -711,12 +638,8 @@ tensorflow-metadata==1.7.0
     # via feast (setup.py)
 termcolor==1.1.0
     # via great-expectations
-terminado==0.13.2
-    # via notebook
-testcontainers==3.4.2
+testcontainers==3.5.3
     # via feast (setup.py)
-testpath==0.6.0
-    # via nbconvert
 toml==0.10.2
     # via
     #   black
@@ -733,49 +656,39 @@ toolz==0.11.2
     #   altair
     #   dask
     #   partd
-tornado==6.1
-    # via
-    #   ipykernel
-    #   jupyter-client
-    #   notebook
-    #   terminado
-tqdm==4.63.0
+tqdm==4.64.0
     # via
     #   feast (setup.py)
     #   great-expectations
 traitlets==5.1.1
     # via
-    #   ipykernel
     #   ipython
-    #   ipywidgets
-    #   jupyter-client
     #   jupyter-core
     #   matplotlib-inline
-    #   nbclient
-    #   nbconvert
     #   nbformat
-    #   notebook
+trino==0.312.0
+    # via feast (setup.py)
 typed-ast==1.5.2
     # via black
-types-protobuf==3.19.12
+types-protobuf==3.19.15
     # via
     #   feast (setup.py)
     #   mypy-protobuf
-types-python-dateutil==2.8.9
+types-python-dateutil==2.8.10
     # via feast (setup.py)
-types-pytz==2021.3.5
+types-pytz==2021.3.6
     # via feast (setup.py)
-types-pyyaml==6.0.4
+types-pyyaml==6.0.5
     # via feast (setup.py)
-types-redis==4.1.17
+types-redis==4.1.19
     # via feast (setup.py)
-types-requests==2.27.11
+types-requests==2.27.16
     # via feast (setup.py)
-types-setuptools==57.4.9
+types-setuptools==57.4.12
     # via feast (setup.py)
-types-tabulate==0.8.5
+types-tabulate==0.8.6
     # via feast (setup.py)
-types-urllib3==1.26.10
+types-urllib3==1.26.11
     # via types-requests
 typing-extensions==4.1.1
     # via
@@ -783,48 +696,47 @@ typing-extensions==4.1.1
     #   great-expectations
     #   mypy
     #   pydantic
-tzdata==2021.5
+tzdata==2022.1
     # via pytz-deprecation-shim
-tzlocal==4.1
+tzlocal==4.2
     # via great-expectations
 uritemplate==4.1.1
     # via google-api-python-client
-urllib3==1.26.8
+urllib3==1.26.9
     # via
     #   botocore
     #   feast (setup.py)
+    #   great-expectations
     #   minio
     #   requests
     #   responses
-uvicorn[standard]==0.17.5
+uvicorn[standard]==0.17.6
     # via feast (setup.py)
 uvloop==0.16.0
     # via uvicorn
-virtualenv==20.13.2
+virtualenv==20.14.1
     # via pre-commit
-watchgod==0.7
+watchgod==0.8.2
     # via uvicorn
 wcwidth==0.2.5
     # via prompt-toolkit
-webencodings==0.5.1
-    # via bleach
-websocket-client==1.3.1
+websocket-client==1.3.2
     # via docker
 websockets==10.2
     # via uvicorn
-werkzeug==2.0.3
+werkzeug==2.1.1
     # via moto
 wheel==0.37.1
     # via pip-tools
-widgetsnbextension==3.5.2
-    # via ipywidgets
-wrapt==1.13.3
-    # via testcontainers
+wrapt==1.14.0
+    # via
+    #   deprecated
+    #   testcontainers
 xmltodict==0.12.0
     # via moto
 yarl==1.7.2
     # via aiohttp
-zipp==3.7.0
+zipp==3.8.0
     # via importlib-metadata
 
 # The following packages are considered to be unsafe in a requirements file:
diff --git a/sdk/python/requirements/py3.9-requirements.txt b/sdk/python/requirements/py3.9-requirements.txt
index 67ef8ada9e..6413886c5b 100644
--- a/sdk/python/requirements/py3.9-requirements.txt
+++ b/sdk/python/requirements/py3.9-requirements.txt
@@ -7,18 +7,20 @@
 absl-py==1.0.0
     # via tensorflow-metadata
 anyio==3.5.0
-    # via starlette
-asgiref==3.4.1
+    # via
+    #   starlette
+    #   watchgod
+asgiref==3.5.0
     # via uvicorn
 attrs==21.4.0
     # via jsonschema
-cachetools==4.2.4
+cachetools==5.0.0
     # via google-auth
 certifi==2021.10.8
     # via requests
-charset-normalizer==2.0.10
+charset-normalizer==2.0.12
     # via requests
-click==8.0.3
+click==8.1.2
     # via
     #   feast (setup.py)
     #   uvicorn
@@ -30,55 +32,55 @@ dask==2022.1.1
     # via feast (setup.py)
 dill==0.3.4
     # via feast (setup.py)
-fastapi==0.72.0
+fastapi==0.75.1
     # via feast (setup.py)
-fastavro==1.4.9
+fastavro==1.4.10
     # via
     #   feast (setup.py)
     #   pandavro
-fsspec==2022.2.0
+fsspec==2022.3.0
     # via dask
-google-api-core==2.4.0
+google-api-core==2.7.2
     # via feast (setup.py)
-google-auth==2.3.3
+google-auth==2.6.5
     # via google-api-core
 googleapis-common-protos==1.52.0
     # via
     #   feast (setup.py)
     #   google-api-core
     #   tensorflow-metadata
-grpcio==1.43.0
+grpcio==1.44.0
     # via
     #   feast (setup.py)
     #   grpcio-reflection
-grpcio-reflection==1.43.0
+grpcio-reflection==1.44.0
     # via feast (setup.py)
 h11==0.13.0
     # via uvicorn
-httptools==0.3.0
+httptools==0.4.0
     # via uvicorn
 idna==3.3
     # via
     #   anyio
     #   requests
-jinja2==3.0.3
+jinja2==3.1.1
     # via feast (setup.py)
 jsonschema==4.4.0
     # via feast (setup.py)
 locket==0.2.1
     # via partd
-markupsafe==2.0.1
+markupsafe==2.1.1
     # via jinja2
 mmh3==3.0.0
     # via feast (setup.py)
-numpy==1.21.5
+numpy==1.22.3
     # via
     #   pandas
     #   pandavro
     #   pyarrow
 packaging==21.3
     # via dask
-pandas==1.3.5
+pandas==1.4.2
     # via
     #   feast (setup.py)
     #   pandavro
@@ -88,7 +90,7 @@ partd==1.2.0
     # via dask
 proto-plus==1.19.6
     # via feast (setup.py)
-protobuf==3.19.3
+protobuf==3.19.4
     # via
     #   feast (setup.py)
     #   google-api-core
@@ -96,7 +98,7 @@ protobuf==3.19.3
     #   grpcio-reflection
     #   proto-plus
     #   tensorflow-metadata
-pyarrow==6.0.1
+pyarrow==7.0.0
     # via feast (setup.py)
 pyasn1==0.4.8
     # via
@@ -108,15 +110,15 @@ pydantic==1.9.0
     # via
     #   fastapi
     #   feast (setup.py)
-pyparsing==3.0.7
+pyparsing==3.0.8
     # via packaging
 pyrsistent==0.18.1
     # via jsonschema
 python-dateutil==2.8.2
     # via pandas
-python-dotenv==0.19.2
+python-dotenv==0.20.0
     # via uvicorn
-pytz==2021.3
+pytz==2022.1
     # via pandas
 pyyaml==6.0
     # via
@@ -142,7 +144,7 @@ tabulate==0.8.9
     # via feast (setup.py)
 tenacity==8.0.1
     # via feast (setup.py)
-tensorflow-metadata==1.6.0
+tensorflow-metadata==1.7.0
     # via feast (setup.py)
 toml==0.10.2
     # via feast (setup.py)
@@ -150,20 +152,17 @@ toolz==0.11.2
     # via
     #   dask
     #   partd
-tqdm==4.62.3
+tqdm==4.64.0
     # via feast (setup.py)
-typing-extensions==4.0.1
+typing-extensions==4.1.1
     # via pydantic
-urllib3==1.26.8
+urllib3==1.26.9
     # via requests
-uvicorn[standard]==0.17.0
+uvicorn[standard]==0.17.6
     # via feast (setup.py)
 uvloop==0.16.0
     # via uvicorn
-watchgod==0.7
+watchgod==0.8.2
     # via uvicorn
-websockets==10.1
+websockets==10.2
     # via uvicorn
-
-# The following packages are considered to be unsafe in a requirements file:
-# setuptools
diff --git a/sdk/python/setup.py b/sdk/python/setup.py
index cc883da95e..ed1a1a7f9f 100644
--- a/sdk/python/setup.py
+++ b/sdk/python/setup.py
@@ -11,28 +11,33 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+import copy
 import glob
+import json
 import os
 import pathlib
 import re
 import shutil
 import subprocess
+import sys
 from distutils.cmd import Command
+from distutils.dir_util import copy_tree
 from pathlib import Path
 from subprocess import CalledProcessError
 
-from setuptools import find_packages
+from setuptools import find_packages, Extension
 
 try:
     from setuptools import setup
     from setuptools.command.build_py import build_py
+    from setuptools.command.build_ext import build_ext as _build_ext
     from setuptools.command.develop import develop
     from setuptools.command.install import install
-    from setuptools.dist import Distribution
+
 except ImportError:
     from distutils.command.build_py import build_py
+    from distutils.command.build_ext import build_ext as _build_ext
     from distutils.core import setup
-    from distutils.dist import Distribution
 
 NAME = "feast"
 DESCRIPTION = "Python SDK for Feast"
@@ -71,7 +76,7 @@
 ]
 
 GCP_REQUIRED = [
-    "google-cloud-bigquery>=2.28.1",
+    "google-cloud-bigquery>=2,<3",
     "google-cloud-bigquery-storage >= 2.0.0",
     "google-cloud-datastore>=2.1.*",
     "google-cloud-storage>=1.34.*,<1.41",
@@ -79,8 +84,7 @@
 ]
 
 REDIS_REQUIRED = [
-    "redis==3.5.3",
-    "redis-py-cluster>=2.1.3",
+    "redis==4.2.2",
     "hiredis>=2.0.0",
 ]
 
@@ -107,7 +111,7 @@
 
 CI_REQUIRED = (
     [
-        "cryptography==3.3.2",
+        "cryptography==3.4.8",
         "flake8",
         "black==19.10b0",
         "isort>=5",
@@ -189,7 +193,7 @@ class BuildPythonProtosCommand(Command):
 
     def initialize_options(self):
         self.python_protoc = [
-            "python",
+            sys.executable,
             "-m",
             "grpc_tools.protoc",
         ]  # find_executable("protoc")
@@ -292,7 +296,7 @@ class BuildGoProtosCommand(Command):
 
     def initialize_options(self):
         self.go_protoc = [
-            "python",
+            sys.executable,
             "-m",
             "grpc_tools.protoc",
         ]  # find_executable("protoc")
@@ -331,44 +335,6 @@ def run(self):
             self._generate_go_protos(f"feast/{sub_folder}/*.proto")
 
 
-class BuildGoEmbeddedCommand(Command):
-    description = "Builds Go embedded library"
-    user_options = []
-
-    def initialize_options(self) -> None:
-        self.path_val = _generate_path_with_gopath()
-
-        self.go_env = {}
-        for var in ("GOCACHE", "GOPATH"):
-            self.go_env[var] = subprocess \
-                .check_output(["go", "env", var]) \
-                .decode("utf-8") \
-                .strip()
-
-    def finalize_options(self) -> None:
-        pass
-
-    def _compile_embedded_lib(self):
-        print("Compile embedded go")
-        subprocess.check_call([
-            "gopy",
-            "build",
-            "-output",
-            "feast/embedded_go/lib",
-            "-vm",
-            "python3",
-            "-no-make",
-            "github.com/feast-dev/feast/go/embedded"
-        ], env={
-            "PATH": self.path_val,
-            "CGO_LDFLAGS_ALLOW": ".*",
-            **self.go_env,
-        })
-
-    def run(self):
-        self._compile_embedded_lib()
-
-
 class BuildCommand(build_py):
     """Custom build command."""
 
@@ -377,7 +343,7 @@ def run(self):
         if os.getenv("COMPILE_GO", "false").lower() == "true":
             _ensure_go_and_proto_toolchain()
             self.run_command("build_go_protos")
-            self.run_command("build_go_lib")
+
         build_py.run(self)
 
 
@@ -389,15 +355,61 @@ def run(self):
         if os.getenv("COMPILE_GO", "false").lower() == "true":
             _ensure_go_and_proto_toolchain()
             self.run_command("build_go_protos")
-            self.run_command("build_go_lib")
+
         develop.run(self)
 
 
-class BinaryDistribution(Distribution):
-    """Distribution which forces a binary package with platform name
-     when go compilation is enabled"""
-    def has_ext_modules(self):
-        return os.getenv("COMPILE_GO", "false").lower() == "true"
+class build_ext(_build_ext):
+    def finalize_options(self) -> None:
+        super().finalize_options()
+        if os.getenv("COMPILE_GO", "false").lower() == "false":
+            self.extensions = [e for e in self.extensions if not self._is_go_ext(e)]
+
+    def _is_go_ext(self, ext: Extension):
+        return any(source.endswith('.go') or source.startswith('github') for source in ext.sources)
+
+    def build_extension(self, ext: Extension):
+        if not self._is_go_ext(ext):
+            # the base class may mutate `self.compiler`
+            compiler = copy.deepcopy(self.compiler)
+            self.compiler, compiler = compiler, self.compiler
+            try:
+                return _build_ext.build_extension(self, ext)
+            finally:
+                self.compiler, compiler = compiler, self.compiler
+
+        bin_path = _generate_path_with_gopath()
+        go_env = json.loads(
+            subprocess.check_output(["go", "env", "-json"]).decode("utf-8").strip()
+        )
+
+        destination = os.path.dirname(os.path.abspath(self.get_ext_fullpath(ext.name)))
+        subprocess.check_call([
+            "gopy",
+            "build",
+            "-output",
+            destination,
+            "-vm",
+            sys.executable,
+            "-no-make",
+            *ext.sources
+        ], env={
+            "PATH": bin_path,
+            "CGO_LDFLAGS_ALLOW": ".*",
+            **go_env,
+        })
+
+    def copy_extensions_to_source(self):
+        build_py = self.get_finalized_command('build_py')
+        for ext in self.extensions:
+            fullname = self.get_ext_fullname(ext.name)
+            modpath = fullname.split('.')
+            package = '.'.join(modpath[:-1])
+            package_dir = build_py.get_package_dir(package)
+            src = os.path.join(self.build_lib, package_dir)
+
+            # copy whole directory
+            copy_tree(src, package_dir)
 
 
 setup(
@@ -452,9 +464,10 @@ def has_ext_modules(self):
     cmdclass={
         "build_python_protos": BuildPythonProtosCommand,
         "build_go_protos": BuildGoProtosCommand,
-        "build_go_lib": BuildGoEmbeddedCommand,
         "build_py": BuildCommand,
         "develop": DevelopCommand,
+        "build_ext": build_ext,
     },
-    distclass=BinaryDistribution,  # generate wheel with platform-specific name
+    ext_modules=[Extension('feast.embedded_go.lib._embedded',
+                           ["github.com/feast-dev/feast/go/embedded"])],
 )
diff --git a/sdk/python/tests/example_repos/example_feature_repo_1.py b/sdk/python/tests/example_repos/example_feature_repo_1.py
index 76b42b2241..d8b6d7c89b 100644
--- a/sdk/python/tests/example_repos/example_feature_repo_1.py
+++ b/sdk/python/tests/example_repos/example_feature_repo_1.py
@@ -40,26 +40,19 @@
 )
 
 driver_locations_push_source = PushSource(
-    name="driver_locations_push",
-    schema=[
-        Field(name="driver_id", dtype=String),
-        Field(name="driver_lat", dtype=Float32),
-        Field(name="driver_long", dtype=String),
-    ],
-    batch_source=driver_locations_source,
-    timestamp_field="event_timestamp",
+    name="driver_locations_push", batch_source=driver_locations_source,
 )
 
 driver = Entity(
     name="driver",  # The name is derived from this argument, not object name.
-    join_key="driver_id",
+    join_keys=["driver_id"],
     value_type=ValueType.INT64,
     description="driver id",
 )
 
 customer = Entity(
     name="customer",  # The name is derived from this argument, not object name.
-    join_key="customer_id",
+    join_keys=["customer_id"],
     value_type=ValueType.STRING,
 )
 
diff --git a/sdk/python/tests/example_repos/example_feature_repo_with_duplicated_featureview_names.py b/sdk/python/tests/example_repos/example_feature_repo_with_duplicated_featureview_names.py
index 20ff666bd9..cbcc3ad172 100644
--- a/sdk/python/tests/example_repos/example_feature_repo_with_duplicated_featureview_names.py
+++ b/sdk/python/tests/example_repos/example_feature_repo_with_duplicated_featureview_names.py
@@ -10,7 +10,7 @@
     name="driver_hourly_stats",  # Intentionally use the same FeatureView name
     entities=["driver_id"],
     online=False,
-    batch_source=driver_hourly_stats,
+    source=driver_hourly_stats,
     ttl=timedelta(days=1),
     tags={},
 )
@@ -19,7 +19,7 @@
     name="driver_hourly_stats",  # Intentionally use the same FeatureView name
     entities=["driver_id"],
     online=False,
-    batch_source=driver_hourly_stats,
+    source=driver_hourly_stats,
     ttl=timedelta(days=1),
     tags={},
 )
diff --git a/sdk/python/tests/example_repos/example_feature_repo_with_entity_join_key.py b/sdk/python/tests/example_repos/example_feature_repo_with_entity_join_key.py
index 3e1bbbba77..ba18cf84ba 100644
--- a/sdk/python/tests/example_repos/example_feature_repo_with_entity_join_key.py
+++ b/sdk/python/tests/example_repos/example_feature_repo_with_entity_join_key.py
@@ -15,7 +15,7 @@
     name="driver_id",
     value_type=ValueType.INT64,
     description="driver id",
-    join_key="driver",
+    join_keys=["driver"],
 )
 
 
diff --git a/sdk/python/tests/integration/e2e/test_python_feature_server.py b/sdk/python/tests/integration/e2e/test_python_feature_server.py
new file mode 100644
index 0000000000..a3048300a3
--- /dev/null
+++ b/sdk/python/tests/integration/e2e/test_python_feature_server.py
@@ -0,0 +1,121 @@
+import contextlib
+import json
+from datetime import datetime
+from typing import List
+
+import pytest
+from fastapi.testclient import TestClient
+
+from feast.feast_object import FeastObject
+from feast.feature_server import get_app
+from tests.integration.feature_repos.integration_test_repo_config import (
+    IntegrationTestRepoConfig,
+)
+from tests.integration.feature_repos.repo_configuration import (
+    construct_test_environment,
+    construct_universal_feature_views,
+    construct_universal_test_data,
+)
+from tests.integration.feature_repos.universal.entities import (
+    customer,
+    driver,
+    location,
+)
+
+
+@pytest.mark.integration
+@pytest.mark.universal
+def test_get_online_features():
+    with setup_python_fs_client() as client:
+        request_data_dict = {
+            "features": [
+                "driver_stats:conv_rate",
+                "driver_stats:acc_rate",
+                "driver_stats:avg_daily_trips",
+            ],
+            "entities": {"driver_id": [5001, 5002]},
+        }
+        response = client.post(
+            "/get-online-features", data=json.dumps(request_data_dict)
+        )
+
+        # Check entities and features are present
+        parsed_response = json.loads(response.text)
+        assert "metadata" in parsed_response
+        metadata = parsed_response["metadata"]
+        expected_features = ["driver_id", "conv_rate", "acc_rate", "avg_daily_trips"]
+        response_feature_names = metadata["feature_names"]
+        assert len(response_feature_names) == len(expected_features)
+        for expected_feature in expected_features:
+            assert expected_feature in response_feature_names
+        assert "results" in parsed_response
+        results = parsed_response["results"]
+        for result in results:
+            # Same order as in metadata
+            assert len(result["statuses"]) == 2  # Requested two entities
+            for status in result["statuses"]:
+                assert status == "PRESENT"
+        results_driver_id_index = response_feature_names.index("driver_id")
+        assert (
+            results[results_driver_id_index]["values"]
+            == request_data_dict["entities"]["driver_id"]
+        )
+
+
+@pytest.mark.integration
+@pytest.mark.universal
+def test_push():
+    with setup_python_fs_client() as client:
+        initial_temp = get_temperatures(client, location_ids=[1])[0]
+        json_data = json.dumps(
+            {
+                "push_source_name": "location_stats_push_source",
+                "df": {
+                    "location_id": [1],
+                    "temperature": [initial_temp * 100],
+                    "event_timestamp": [str(datetime.utcnow())],
+                    "created": [str(datetime.utcnow())],
+                },
+            }
+        )
+        response = client.post("/push", data=json_data,)
+
+        # Check new pushed temperature is fetched
+        assert response.status_code == 200
+        assert get_temperatures(client, location_ids=[1]) == [initial_temp * 100]
+
+
+def get_temperatures(client, location_ids: List[int]):
+    get_request_data = {
+        "features": ["pushable_location_stats:temperature"],
+        "entities": {"location_id": location_ids},
+    }
+    response = client.post("/get-online-features", data=json.dumps(get_request_data))
+    parsed_response = json.loads(response.text)
+    assert "metadata" in parsed_response
+    metadata = parsed_response["metadata"]
+    response_feature_names = metadata["feature_names"]
+    assert "results" in parsed_response
+    results = parsed_response["results"]
+    results_temperature_index = response_feature_names.index("temperature")
+    return results[results_temperature_index]["values"]
+
+
+@contextlib.contextmanager
+def setup_python_fs_client():
+    config = IntegrationTestRepoConfig()
+    environment = construct_test_environment(config)
+    fs = environment.feature_store
+    try:
+        entities, datasets, data_sources = construct_universal_test_data(environment)
+        feature_views = construct_universal_feature_views(data_sources)
+        feast_objects: List[FeastObject] = []
+        feast_objects.extend(feature_views.values())
+        feast_objects.extend([driver(), customer(), location()])
+        fs.apply(feast_objects)
+        fs.materialize(environment.start_date, environment.end_date)
+        client = TestClient(get_app(fs))
+        yield client
+    finally:
+        fs.teardown()
+        environment.data_source_creator.teardown()
diff --git a/sdk/python/tests/integration/feature_repos/universal/entities.py b/sdk/python/tests/integration/feature_repos/universal/entities.py
index e8e90a6af6..b7a7583f1b 100644
--- a/sdk/python/tests/integration/feature_repos/universal/entities.py
+++ b/sdk/python/tests/integration/feature_repos/universal/entities.py
@@ -6,7 +6,7 @@ def driver(value_type: ValueType = ValueType.INT64):
         name="driver",  # The name is derived from this argument, not object name.
         value_type=value_type,
         description="driver id",
-        join_key="driver_id",
+        join_keys=["driver_id"],
     )
 
 
diff --git a/sdk/python/tests/integration/feature_repos/universal/feature_views.py b/sdk/python/tests/integration/feature_repos/universal/feature_views.py
index 5918e36753..a6786528e1 100644
--- a/sdk/python/tests/integration/feature_repos/universal/feature_views.py
+++ b/sdk/python/tests/integration/feature_repos/universal/feature_views.py
@@ -13,7 +13,7 @@
     ValueType,
 )
 from feast.data_source import DataSource, RequestSource
-from feast.types import Array, FeastType, Float32, Float64, Int32, Int64
+from feast.types import Array, FeastType, Float32, Float64, Int32
 from tests.integration.feature_repos.universal.entities import location
 
 
@@ -65,19 +65,19 @@ def conv_rate_plus_100(features_df: pd.DataFrame) -> pd.DataFrame:
 def conv_rate_plus_100_feature_view(
     sources: Dict[str, Union[RequestSource, FeatureView]],
     infer_features: bool = False,
-    features: Optional[List[Feature]] = None,
+    features: Optional[List[Field]] = None,
 ) -> OnDemandFeatureView:
     # Test that positional arguments and Features still work for ODFVs.
     _features = features or [
-        Feature(name="conv_rate_plus_100", dtype=ValueType.DOUBLE),
-        Feature(name="conv_rate_plus_val_to_add", dtype=ValueType.DOUBLE),
-        Feature(name="conv_rate_plus_100_rounded", dtype=ValueType.INT32),
+        Field(name="conv_rate_plus_100", dtype=Float64),
+        Field(name="conv_rate_plus_val_to_add", dtype=Float64),
+        Field(name="conv_rate_plus_100_rounded", dtype=Int32),
     ]
     return OnDemandFeatureView(
-        conv_rate_plus_100.__name__,
-        [] if infer_features else _features,
-        sources,
-        conv_rate_plus_100,
+        name=conv_rate_plus_100.__name__,
+        schema=[] if infer_features else _features,
+        sources=sources,
+        udf=conv_rate_plus_100,
     )
 
 
@@ -237,13 +237,7 @@ def create_field_mapping_feature_view(source):
 
 def create_pushable_feature_view(batch_source: DataSource):
     push_source = PushSource(
-        name="location_stats_push_source",
-        schema=[
-            Field(name="location_id", dtype=Int64),
-            Field(name="temperature", dtype=Int32),
-        ],
-        timestamp_field="timestamp",
-        batch_source=batch_source,
+        name="location_stats_push_source", batch_source=batch_source,
     )
     return FeatureView(
         name="pushable_location_stats",
diff --git a/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py b/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py
index 0d6ef84ff4..b62f7cda24 100644
--- a/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py
+++ b/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py
@@ -689,7 +689,7 @@ def test_historical_features_from_bigquery_sources_containing_backfills(environm
         created_timestamp_column="created",
     )
 
-    driver = Entity(name="driver", join_key="driver_id", value_type=ValueType.INT64)
+    driver = Entity(name="driver", join_keys=["driver_id"], value_type=ValueType.INT64)
     driver_fv = FeatureView(
         name="driver_stats",
         entities=["driver"],
diff --git a/sdk/python/tests/integration/registration/test_feature_store.py b/sdk/python/tests/integration/registration/test_feature_store.py
index 39de7fc688..ca61734c78 100644
--- a/sdk/python/tests/integration/registration/test_feature_store.py
+++ b/sdk/python/tests/integration/registration/test_feature_store.py
@@ -219,7 +219,9 @@ def test_feature_view_inference_success(test_feature_store, dataframe_source):
     with prep_file_source(
         df=dataframe_source, event_timestamp_column="ts_1"
     ) as file_source:
-        entity = Entity(name="id", join_key="id_join_key", value_type=ValueType.INT64)
+        entity = Entity(
+            name="id", join_keys=["id_join_key"], value_type=ValueType.INT64
+        )
 
         fv1 = FeatureView(
             name="fv1",
@@ -436,7 +438,7 @@ def test_reapply_feature_view_success(test_feature_store, dataframe_source):
         df=dataframe_source, event_timestamp_column="ts_1"
     ) as file_source:
 
-        e = Entity(name="id", join_key="id_join_key", value_type=ValueType.STRING)
+        e = Entity(name="id", join_keys=["id_join_key"], value_type=ValueType.STRING)
 
         # Create Feature View
         fv1 = FeatureView(
diff --git a/sdk/python/tests/integration/registration/test_inference.py b/sdk/python/tests/integration/registration/test_inference.py
index 526f422e9d..d41a4fdbc1 100644
--- a/sdk/python/tests/integration/registration/test_inference.py
+++ b/sdk/python/tests/integration/registration/test_inference.py
@@ -53,8 +53,8 @@ def test_update_entities_with_inferred_types_from_feature_views(
             name="fv2", entities=["id"], batch_source=file_source_2, ttl=None,
         )
 
-        actual_1 = Entity(name="id", join_key="id_join_key")
-        actual_2 = Entity(name="id", join_key="id_join_key")
+        actual_1 = Entity(name="id", join_keys=["id_join_key"])
+        actual_2 = Entity(name="id", join_keys=["id_join_key"])
 
         update_entities_with_inferred_types_from_feature_views(
             [actual_1], [fv1], RepoConfig(provider="local", project="test")
@@ -63,16 +63,16 @@ def test_update_entities_with_inferred_types_from_feature_views(
             [actual_2], [fv2], RepoConfig(provider="local", project="test")
         )
         assert actual_1 == Entity(
-            name="id", join_key="id_join_key", value_type=ValueType.INT64
+            name="id", join_keys=["id_join_key"], value_type=ValueType.INT64
         )
         assert actual_2 == Entity(
-            name="id", join_key="id_join_key", value_type=ValueType.STRING
+            name="id", join_keys=["id_join_key"], value_type=ValueType.STRING
         )
 
         with pytest.raises(RegistryInferenceFailure):
             # two viable data types
             update_entities_with_inferred_types_from_feature_views(
-                [Entity(name="id", join_key="id_join_key")],
+                [Entity(name="id", join_keys=["id_join_key"])],
                 [fv1, fv2],
                 RepoConfig(provider="local", project="test"),
             )
@@ -229,7 +229,7 @@ def test_view_with_missing_feature(features_df: pd.DataFrame) -> pd.DataFrame:
 @pytest.mark.parametrize(
     "request_source_schema",
     [
-        [Field(name="some_date", dtype=PrimitiveFeastType.UNIX_TIMESTAMP)],
+        [Field(name="some_date", dtype=UnixTimestamp)],
         {"some_date": ValueType.UNIX_TIMESTAMP},
     ],
 )
diff --git a/sdk/python/tests/integration/registration/test_registry.py b/sdk/python/tests/integration/registration/test_registry.py
index 072be15bfe..5f72fb7125 100644
--- a/sdk/python/tests/integration/registration/test_registry.py
+++ b/sdk/python/tests/integration/registration/test_registry.py
@@ -29,7 +29,7 @@
 from feast.protos.feast.types import Value_pb2 as ValueProto
 from feast.registry import Registry
 from feast.repo_config import RegistryConfig
-from feast.types import Array, Bytes, Float32, Int32, Int64, PrimitiveFeastType, String
+from feast.types import Array, Bytes, Float32, Int32, Int64, String
 from feast.value_type import ValueType
 
 
@@ -240,10 +240,7 @@ def test_apply_feature_view_success(test_registry):
 # TODO(kevjumba): remove this in feast 0.23 when deprecating
 @pytest.mark.parametrize(
     "request_source_schema",
-    [
-        [Field(name="my_input_1", dtype=PrimitiveFeastType.INT32)],
-        {"my_input_1": ValueType.INT32},
-    ],
+    [[Field(name="my_input_1", dtype=Int32)], {"my_input_1": ValueType.INT32}],
 )
 def test_modify_feature_views_success(test_registry, request_source_schema):
     # Create Feature Views
diff --git a/sdk/python/tests/unit/infra/online_store/test_dynamodb_online_store.py b/sdk/python/tests/unit/infra/online_store/test_dynamodb_online_store.py
index 7d6da0dc06..e1be890e57 100644
--- a/sdk/python/tests/unit/infra/online_store/test_dynamodb_online_store.py
+++ b/sdk/python/tests/unit/infra/online_store/test_dynamodb_online_store.py
@@ -11,6 +11,8 @@
     DynamoDBOnlineStoreConfig,
     DynamoDBTable,
 )
+from feast.protos.feast.types.EntityKey_pb2 import EntityKey as EntityKeyProto
+from feast.protos.feast.types.Value_pb2 import Value as ValueProto
 from feast.repo_config import RepoConfig
 from tests.utils.online_store_utils import (
     _create_n_customer_test_samples,
@@ -49,7 +51,6 @@ def test_online_store_config_default():
     assert dynamodb_store_config.batch_size == 40
     assert dynamodb_store_config.endpoint_url is None
     assert dynamodb_store_config.region == aws_region
-    assert dynamodb_store_config.sort_response is True
     assert dynamodb_store_config.table_name_template == "{project}.{table_name}"
 
 
@@ -70,20 +71,17 @@ def test_online_store_config_custom_params():
     aws_region = "us-west-2"
     batch_size = 20
     endpoint_url = "http://localhost:8000"
-    sort_response = False
     table_name_template = "feast_test.dynamodb_table"
     dynamodb_store_config = DynamoDBOnlineStoreConfig(
         region=aws_region,
         batch_size=batch_size,
         endpoint_url=endpoint_url,
-        sort_response=sort_response,
         table_name_template=table_name_template,
     )
     assert dynamodb_store_config.type == "dynamodb"
     assert dynamodb_store_config.batch_size == batch_size
     assert dynamodb_store_config.endpoint_url == endpoint_url
     assert dynamodb_store_config.region == aws_region
-    assert dynamodb_store_config.sort_response == sort_response
     assert dynamodb_store_config.table_name_template == table_name_template
 
 
@@ -175,6 +173,42 @@ def test_online_read(repo_config, n_samples):
     assert [item[1] for item in returned_items] == list(features)
 
 
+@mock_dynamodb2
+def test_online_read_unknown_entity(repo_config):
+    """Test DynamoDBOnlineStore online_read method."""
+    n_samples = 2
+    _create_test_table(PROJECT, f"{TABLE_NAME}_{n_samples}", REGION)
+    data = _create_n_customer_test_samples(n=n_samples)
+    _insert_data_test_table(data, PROJECT, f"{TABLE_NAME}_{n_samples}", REGION)
+
+    entity_keys, features, *rest = zip(*data)
+    # Append a nonsensical entity to search for
+    entity_keys = list(entity_keys)
+    features = list(features)
+    dynamodb_store = DynamoDBOnlineStore()
+
+    # Have the unknown entity be in the beginning, middle, and end of the list of entities.
+    for pos in range(len(entity_keys)):
+        entity_keys_with_unknown = deepcopy(entity_keys)
+        entity_keys_with_unknown.insert(
+            pos,
+            EntityKeyProto(
+                join_keys=["customer"], entity_values=[ValueProto(string_val="12359")]
+            ),
+        )
+        features_with_none = deepcopy(features)
+        features_with_none.insert(pos, None)
+        returned_items = dynamodb_store.online_read(
+            config=repo_config,
+            table=MockFeatureView(name=f"{TABLE_NAME}_{n_samples}"),
+            entity_keys=entity_keys_with_unknown,
+        )
+        assert len(returned_items) == len(entity_keys_with_unknown)
+        assert [item[1] for item in returned_items] == list(features_with_none)
+        # The order should match the original entity key order
+        assert returned_items[pos] == (None, None)
+
+
 @mock_dynamodb2
 def test_write_batch_non_duplicates(repo_config):
     """Test DynamoDBOnline Store deduplicate write batch request items."""
diff --git a/sdk/python/tests/unit/test_data_sources.py b/sdk/python/tests/unit/test_data_sources.py
index ceb9ff4ce6..6bd4baf4fa 100644
--- a/sdk/python/tests/unit/test_data_sources.py
+++ b/sdk/python/tests/unit/test_data_sources.py
@@ -1,32 +1,29 @@
 import pytest
 
 from feast import ValueType
-from feast.data_source import PushSource, RequestDataSource, RequestSource
+from feast.data_format import ProtoFormat
+from feast.data_source import (
+    KafkaSource,
+    KinesisSource,
+    PushSource,
+    RequestDataSource,
+    RequestSource,
+)
 from feast.field import Field
 from feast.infra.offline_stores.bigquery_source import BigQuerySource
-from feast.types import PrimitiveFeastType
+from feast.types import Bool, Float32, Int64
 
 
 def test_push_with_batch():
     push_source = PushSource(
-        name="test",
-        schema=[
-            Field(name="f1", dtype=PrimitiveFeastType.FLOAT32),
-            Field(name="f2", dtype=PrimitiveFeastType.BOOL),
-        ],
-        timestamp_field="event_timestamp",
-        batch_source=BigQuerySource(table="test.test"),
+        name="test", batch_source=BigQuerySource(table="test.test"),
     )
     push_source_proto = push_source.to_proto()
     assert push_source_proto.HasField("batch_source")
-    assert push_source_proto.timestamp_field is not None
-    assert push_source_proto.push_options is not None
 
     push_source_unproto = PushSource.from_proto(push_source_proto)
 
     assert push_source.name == push_source_unproto.name
-    assert push_source.schema == push_source_unproto.schema
-    assert push_source.timestamp_field == push_source_unproto.timestamp_field
     assert push_source.batch_source.name == push_source_unproto.batch_source.name
 
 
@@ -43,8 +40,8 @@ def test_request_data_source_deprecation():
 
 def test_request_source_primitive_type_to_proto():
     schema = [
-        Field(name="f1", dtype=PrimitiveFeastType.FLOAT32),
-        Field(name="f2", dtype=PrimitiveFeastType.BOOL),
+        Field(name="f1", dtype=Float32),
+        Field(name="f2", dtype=Bool),
     ]
     request_source = RequestSource(
         name="source", schema=schema, description="desc", tags={}, owner="feast",
@@ -52,3 +49,99 @@ def test_request_source_primitive_type_to_proto():
     request_proto = request_source.to_proto()
     deserialized_request_source = RequestSource.from_proto(request_proto)
     assert deserialized_request_source == request_source
+
+
+def test_hash():
+    push_source_1 = PushSource(
+        name="test", batch_source=BigQuerySource(table="test.test"),
+    )
+    push_source_2 = PushSource(
+        name="test", batch_source=BigQuerySource(table="test.test"),
+    )
+    push_source_3 = PushSource(
+        name="test", batch_source=BigQuerySource(table="test.test2"),
+    )
+    push_source_4 = PushSource(
+        name="test",
+        batch_source=BigQuerySource(table="test.test2"),
+        description="test",
+    )
+
+    s1 = {push_source_1, push_source_2}
+    assert len(s1) == 1
+
+    s2 = {push_source_1, push_source_3}
+    assert len(s2) == 2
+
+    s3 = {push_source_3, push_source_4}
+    assert len(s3) == 2
+
+    s4 = {push_source_1, push_source_2, push_source_3, push_source_4}
+    assert len(s4) == 3
+
+
+# TODO(kevjumba): Remove this test in feast 0.23 when positional arguments are removed.
+def test_default_data_source_kw_arg_warning():
+    # source_class = request.param
+    with pytest.warns(DeprecationWarning):
+        source = KafkaSource(
+            "name", "column", "bootstrap_servers", ProtoFormat("class_path"), "topic"
+        )
+        assert source.name == "name"
+        assert source.timestamp_field == "column"
+        assert source.kafka_options.bootstrap_servers == "bootstrap_servers"
+        assert source.kafka_options.topic == "topic"
+    with pytest.raises(ValueError):
+        KafkaSource("name", "column", "bootstrap_servers", topic="topic")
+
+    with pytest.warns(DeprecationWarning):
+        source = KinesisSource(
+            "name",
+            "column",
+            "c_column",
+            ProtoFormat("class_path"),
+            "region",
+            "stream_name",
+        )
+        assert source.name == "name"
+        assert source.timestamp_field == "column"
+        assert source.created_timestamp_column == "c_column"
+        assert source.kinesis_options.region == "region"
+        assert source.kinesis_options.stream_name == "stream_name"
+
+    with pytest.raises(ValueError):
+        KinesisSource(
+            "name", "column", "c_column", region="region", stream_name="stream_name"
+        )
+
+    with pytest.warns(DeprecationWarning):
+        source = RequestSource(
+            "name", [Field(name="val_to_add", dtype=Int64)], description="description"
+        )
+        assert source.name == "name"
+        assert source.description == "description"
+
+    with pytest.raises(ValueError):
+        RequestSource("name")
+
+    with pytest.warns(DeprecationWarning):
+        source = PushSource(
+            "name",
+            BigQuerySource(name="bigquery_source", table="table"),
+            description="description",
+        )
+        assert source.name == "name"
+        assert source.description == "description"
+        assert source.batch_source.name == "bigquery_source"
+
+    with pytest.raises(ValueError):
+        PushSource("name")
+
+    # No name warning for DataSource
+    with pytest.warns(UserWarning):
+        source = KafkaSource(
+            event_timestamp_column="column",
+            bootstrap_servers="bootstrap_servers",
+            message_format=ProtoFormat("class_path"),
+            topic="topic",
+        )
diff --git a/sdk/python/tests/unit/test_entity.py b/sdk/python/tests/unit/test_entity.py
index fee8bd9f00..254a975f67 100644
--- a/sdk/python/tests/unit/test_entity.py
+++ b/sdk/python/tests/unit/test_entity.py
@@ -63,3 +63,22 @@ def test_multiple_args():
 def test_name_keyword(recwarn):
     Entity(name="my-entity", value_type=ValueType.STRING)
     assert len(recwarn) == 0
+
+
+def test_hash():
+    entity1 = Entity(name="my-entity", value_type=ValueType.STRING)
+    entity2 = Entity(name="my-entity", value_type=ValueType.STRING)
+    entity3 = Entity(name="my-entity", value_type=ValueType.FLOAT)
+    entity4 = Entity(name="my-entity", value_type=ValueType.FLOAT, description="test")
+
+    s1 = {entity1, entity2}
+    assert len(s1) == 1
+
+    s2 = {entity1, entity3}
+    assert len(s2) == 2
+
+    s3 = {entity3, entity4}
+    assert len(s3) == 2
+
+    s4 = {entity1, entity2, entity3, entity4}
+    assert len(s4) == 3
diff --git a/sdk/python/tests/unit/test_feature_service.py b/sdk/python/tests/unit/test_feature_service.py
index 522ac49de1..fc4fd70bcb 100644
--- a/sdk/python/tests/unit/test_feature_service.py
+++ b/sdk/python/tests/unit/test_feature_service.py
@@ -1,4 +1,10 @@
-from feast import FeatureService
+import pytest
+
+from feast.feature_service import FeatureService
+from feast.feature_view import FeatureView
+from feast.field import Field
+from feast.infra.offline_stores.file_source import FileSource
+from feast.types import Float32
 
 
 def test_feature_service_with_description():
@@ -12,3 +18,88 @@ def test_feature_service_without_description():
     feature_service = FeatureService(name="my-feature-service", features=[])
     #
     assert feature_service.to_proto().spec.description == ""
+
+
+def test_hash():
+    file_source = FileSource(name="my-file-source", path="test.parquet")
+    feature_view = FeatureView(
+        name="my-feature-view",
+        entities=[],
+        schema=[
+            Field(name="feature1", dtype=Float32),
+            Field(name="feature2", dtype=Float32),
+        ],
+        source=file_source,
+    )
+    feature_service_1 = FeatureService(
+        name="my-feature-service", features=[feature_view[["feature1", "feature2"]]]
+    )
+    feature_service_2 = FeatureService(
+        name="my-feature-service", features=[feature_view[["feature1", "feature2"]]]
+    )
+    feature_service_3 = FeatureService(
+        name="my-feature-service", features=[feature_view[["feature1"]]]
+    )
+    feature_service_4 = FeatureService(
+        name="my-feature-service",
+        features=[feature_view[["feature1"]]],
+        description="test",
+    )
+
+    s1 = {feature_service_1, feature_service_2}
+    assert len(s1) == 1
+
+    s2 = {feature_service_1, feature_service_3}
+    assert len(s2) == 2
+
+    s3 = {feature_service_3, feature_service_4}
+    assert len(s3) == 2
+
+    s4 = {feature_service_1, feature_service_2, feature_service_3, feature_service_4}
+    assert len(s4) == 3
+
+
+def test_feature_view_kw_args_warning():
+    with pytest.warns(DeprecationWarning):
+        service = FeatureService("name", [], tags={"tag_1": "tag"}, description="desc")
+        assert service.name == "name"
+        assert service.tags == {"tag_1": "tag"}
+        assert service.description == "desc"
+
+    # More positional args than name and features
+    with pytest.raises(ValueError):
+        service = FeatureService("name", [], {"tag_1": "tag"}, "desc")
+
+    # No name defined.
+    with pytest.raises(ValueError):
+        service = FeatureService(features=[], tags={"tag_1": "tag"}, description="desc")
+
+
+def no_warnings(func):
+    def wrapper_no_warnings(*args, **kwargs):
+        with pytest.warns(None) as warnings:
+            func(*args, **kwargs)
+
+        if len(warnings) > 0:
+            raise AssertionError(
+                "Warnings were raised: " + ", ".join([str(w) for w in warnings])
+            )
+
+    return wrapper_no_warnings
+
+
+@no_warnings
+def test_feature_view_kw_args_normal():
+    file_source = FileSource(name="my-file-source", path="test.parquet")
+    feature_view = FeatureView(
+        name="my-feature-view",
+        entities=[],
+        schema=[
+            Field(name="feature1", dtype=Float32),
+            Field(name="feature2", dtype=Float32),
+        ],
+        source=file_source,
+    )
+    _ = FeatureService(
+        name="my-feature-service", features=[feature_view[["feature1", "feature2"]]]
+    )
diff --git a/sdk/python/tests/unit/test_feature_view.py b/sdk/python/tests/unit/test_feature_view.py
new file mode 100644
index 0000000000..80a583806e
--- /dev/null
+++ b/sdk/python/tests/unit/test_feature_view.py
@@ -0,0 +1,64 @@
+# Copyright 2022 The Feast Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+from feast.feature_view import FeatureView
+from feast.field import Field
+from feast.infra.offline_stores.file_source import FileSource
+from feast.types import Float32
+
+
+def test_hash():
+    file_source = FileSource(name="my-file-source", path="test.parquet")
+    feature_view_1 = FeatureView(
+        name="my-feature-view",
+        entities=[],
+        schema=[
+            Field(name="feature1", dtype=Float32),
+            Field(name="feature2", dtype=Float32),
+        ],
+        source=file_source,
+    )
+    feature_view_2 = FeatureView(
+        name="my-feature-view",
+        entities=[],
+        schema=[
+            Field(name="feature1", dtype=Float32),
+            Field(name="feature2", dtype=Float32),
+        ],
+        source=file_source,
+    )
+    feature_view_3 = FeatureView(
+        name="my-feature-view",
+        entities=[],
+        schema=[Field(name="feature1", dtype=Float32)],
+        source=file_source,
+    )
+    feature_view_4 = FeatureView(
+        name="my-feature-view",
+        entities=[],
+        schema=[Field(name="feature1", dtype=Float32)],
+        source=file_source,
+        description="test",
+    )
+
+    s1 = {feature_view_1, feature_view_2}
+    assert len(s1) == 1
+
+    s2 = {feature_view_1, feature_view_3}
+    assert len(s2) == 2
+
+    s3 = {feature_view_3, feature_view_4}
+    assert len(s3) == 2
+
+    s4 = {feature_view_1, feature_view_2, feature_view_3, feature_view_4}
+    assert len(s4) == 3
diff --git a/sdk/python/tests/unit/test_on_demand_feature_view.py b/sdk/python/tests/unit/test_on_demand_feature_view.py
new file mode 100644
index 0000000000..9d45cfbb0b
--- /dev/null
+++ b/sdk/python/tests/unit/test_on_demand_feature_view.py
@@ -0,0 +1,102 @@
+# Copyright 2022 The Feast Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import pandas as pd
+
+from feast.feature_view import FeatureView
+from feast.field import Field
+from feast.infra.offline_stores.file_source import FileSource
+from feast.on_demand_feature_view import OnDemandFeatureView
+from feast.types import Float32
+
+
+def udf1(features_df: pd.DataFrame) -> pd.DataFrame:
+    df = pd.DataFrame()
+    df["output1"] = features_df["feature1"]
+    df["output2"] = features_df["feature2"]
+    return df
+
+
+def udf2(features_df: pd.DataFrame) -> pd.DataFrame:
+    df = pd.DataFrame()
+    df["output1"] = features_df["feature1"] + 100
+    df["output2"] = features_df["feature2"] + 100
+    return df
+
+
+def test_hash():
+    file_source = FileSource(name="my-file-source", path="test.parquet")
+    feature_view = FeatureView(
+        name="my-feature-view",
+        entities=[],
+        schema=[
+            Field(name="feature1", dtype=Float32),
+            Field(name="feature2", dtype=Float32),
+        ],
+        source=file_source,
+    )
+    sources = {"my-feature-view": feature_view}
+    on_demand_feature_view_1 = OnDemandFeatureView(
+        name="my-on-demand-feature-view",
+        sources=sources,
+        schema=[
+            Field(name="output1", dtype=Float32),
+            Field(name="output2", dtype=Float32),
+        ],
+        udf=udf1,
+    )
+    on_demand_feature_view_2 = OnDemandFeatureView(
+        name="my-on-demand-feature-view",
+        sources=sources,
+        schema=[
+            Field(name="output1", dtype=Float32),
+            Field(name="output2", dtype=Float32),
+        ],
+        udf=udf1,
+    )
+    on_demand_feature_view_3 = OnDemandFeatureView(
+        name="my-on-demand-feature-view",
+        sources=sources,
+        schema=[
+            Field(name="output1", dtype=Float32),
+            Field(name="output2", dtype=Float32),
+        ],
+        udf=udf2,
+    )
+    on_demand_feature_view_4 = OnDemandFeatureView(
+        name="my-on-demand-feature-view",
+        sources=sources,
+        schema=[
+            Field(name="output1", dtype=Float32),
+            Field(name="output2", dtype=Float32),
+        ],
+        udf=udf2,
+        description="test",
+    )
+
+    s1 = {on_demand_feature_view_1, on_demand_feature_view_2}
+    assert len(s1) == 1
+
+    s2 = {on_demand_feature_view_1, on_demand_feature_view_3}
+    assert len(s2) == 2
+
+    s3 = {on_demand_feature_view_3, on_demand_feature_view_4}
+    assert len(s3) == 2
+
+    s4 = {
+        on_demand_feature_view_1,
+        on_demand_feature_view_2,
+        on_demand_feature_view_3,
+        on_demand_feature_view_4,
+    }
+    assert len(s4) == 3
diff --git a/sdk/python/tests/utils/online_write_benchmark.py b/sdk/python/tests/utils/online_write_benchmark.py
index 6d6b73d5da..82ffc8e98b 100644
--- a/sdk/python/tests/utils/online_write_benchmark.py
+++ b/sdk/python/tests/utils/online_write_benchmark.py
@@ -29,7 +29,7 @@ def create_driver_hourly_stats_feature_view(source):
             Field(name="acc_rate", dtype=Float32),
             Field(name="avg_daily_trips", dtype=Int32),
         ],
-        batch_source=source,
+        source=source,
         ttl=timedelta(hours=2),
     )
     return driver_stats_feature_view
diff --git a/ui/package.json b/ui/package.json
index 37a5ddf431..d74c828f1a 100644
--- a/ui/package.json
+++ b/ui/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@feast-dev/feast-ui",
-  "version": "0.19.0",
+  "version": "0.20.1",
   "private": false,
   "files": [
     "dist"