Update docs to include Snowflake/DQM and removing unused docs from ol…

…d versions of Feast (#2268)

* Update docs to include Snowflake, update roadmap to include DQM, fix quickstart outdated issues, and remove unnecessary docs from old Feast versions

Signed-off-by: Danny Chiao <danny@tecton.ai>

* fix template

Signed-off-by: Danny Chiao <danny@tecton.ai>

* fix template

Signed-off-by: Danny Chiao <danny@tecton.ai>

* Reference dqm guide

Signed-off-by: Danny Chiao <danny@tecton.ai>

README.md

@@ -23,7 +23,7 @@ Feast is an open source feature store for machine learning. Feast is the fastest
 Please see our [documentation](https://docs.feast.dev/) for more information about the project.
 
 ## 📐 Architecture
-<img src="https://i.imgur.com/DphraPo.png" width="750">
+![](docs/assets/feast-marchitecture.png)
 
 The above architecture is the minimal Feast deployment. Want to run the full Feast on GCP/AWS? Click [here](https://docs.feast.dev/how-to-guides/feast-gcp-aws).
 
@@ -189,18 +189,18 @@ The list below contains the functionality that contributors are planning to deve
   * [ ] Delete API
   * [ ] Feature Logging (for training)
 * **Data Quality Management (See [RFC](https://docs.google.com/document/d/110F72d4NTv80p35wDSONxhhPBqWRwbZXG4f9mNEMd98/edit))**
-  * [ ] Data profiling and validation (Great Expectations) (Planned for Q1 2022)
+  * [x] Data profiling and validation (Great Expectations)
   * [ ] Metric production
   * [ ] Training-serving skew detection
   * [ ] Drift detection
 * **Feature Discovery and Governance**
   * [x] Python SDK for browsing feature registry
   * [x] CLI for browsing feature registry
   * [x] Model-centric feature tracking (feature services)
+  * [x] Amundsen integration (see [Feast extractor](https://github.com/amundsen-io/amundsen/blob/main/databuilder/databuilder/extractor/feast_extractor.py))
   * [ ] REST API for browsing feature registry
   * [ ] Feast Web UI
   * [ ] Feature versioning
-  * [ ] Amundsen integration
 
 
 ## 🎓 Important Resources
@@ -224,4 +224,4 @@ Thanks goes to these incredible people:
 
 <a href="https://github.com/feast-dev/feast/graphs/contributors">
   <img src="https://contrib.rocks/image?repo=feast-dev/feast" />
-</a>
+</a>

docs/README.md

@@ -4,7 +4,7 @@
 
 Feast (**Fea**ture **St**ore) is an operational data system for managing and serving machine learning features to models in production. Feast is able to serve feature data to models from a low-latency online store (for real-time prediction) or from an offline store (for scale-out batch scoring or model training).
 
-![](.gitbook/assets/feast-marchitecture-211014.png)
+![](assets/feast-marchitecture.png)
 
 ## Problems Feast Solves
 
@@ -30,7 +30,7 @@ Feast addresses this problem by introducing feature reuse through a centralized
 
 **Feature discovery:** We also aim for Feast to include a first-class user interface for exploring and discovering entities and features.
 
-**‌Feature validation:** We additionally aim for Feast to improve support for statistics generation of feature data and subsequent validation of these statistics. Current support is limited.
+**Feature validation:** We additionally aim for Feast to improve support for statistics generation of feature data and subsequent validation of these statistics. Current support is limited.
 
 ## What Feast is not
 

docs/SUMMARY.md

@@ -20,7 +20,7 @@
 * [Architecture](getting-started/architecture-and-components/README.md)
   * [Overview](getting-started/architecture-and-components/overview.md)
   * [Feature repository](getting-started/architecture-and-components/feature-repository.md)
-  * [Registry](getting-started/architecture-and-components/untitled.md)
+  * [Registry](getting-started/architecture-and-components/registry.md)
   * [Offline store](getting-started/architecture-and-components/offline-store.md)
   * [Online store](getting-started/architecture-and-components/online-store.md)
   * [Provider](getting-started/architecture-and-components/provider.md)
@@ -77,6 +77,7 @@
   * [.feastignore](reference/feature-repository/feast-ignore.md)
 * [Feature servers](reference/feature-servers/README.md)
   * [Local feature server](reference/feature-servers/local-feature-server.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)