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  • Introduction
  • Community
  • Roadmap
  • Changelog
  • Getting started
    • Quickstart
    • Concepts
      • Overview
      • Data source
      • Dataset
      • Entity
      • Feature view
      • Stream feature view
      • Feature retrieval
      • Point-in-time joins
      • Registry
    • Architecture
      • Overview
      • Feature repository
      • Registry
      • Offline store
      • Online store
      • Provider
    • Learning by example
    • Third party integrations
    • FAQ
  • Tutorials
    • Overview
    • Driver ranking
    • Fraud detection on GCP
    • Real-time credit scoring on AWS
    • Driver stats on Snowflake
    • Validating historical features with Great Expectations
    • Using Scalable Registry
    • Building streaming features
  • How-to Guides
    • Running Feast with Snowflake/GCP/AWS
      • Install Feast
      • Create a feature repository
      • Deploy a feature store
      • Build a training dataset
      • Load data into the online store
      • Read features from the online store
    • Running Feast in production
    • Deploying a Java feature server on Kubernetes
    • Upgrading from Feast 0.9
    • Adding a custom provider
    • Adding a new online store
    • Adding a new offline store
    • Adding or reusing tests
  • Reference
    • Codebase Structure
    • Data sources
      • File
      • Snowflake
      • BigQuery
      • Redshift
      • Push
      • Kafka
      • Kinesis
      • Spark (contrib)
      • PostgreSQL (contrib)
    • Offline stores
      • File
      • Snowflake
      • BigQuery
      • Redshift
      • Spark (contrib)
      • PostgreSQL (contrib)
    • Online stores
      • SQLite
      • Redis
      • Datastore
      • DynamoDB
      • PostgreSQL (contrib)
    • Providers
      • Local
      • Google Cloud Platform
      • Amazon Web Services
    • Feature repository
      • feature_store.yaml
      • .feastignore
    • Feature servers
      • Python feature server
      • Go-based feature retrieval
    • [Alpha] Web UI
    • [Alpha] Data quality monitoring
    • [Alpha] On demand feature view
    • [Alpha] AWS Lambda feature server
    • Feast CLI reference
    • Python API reference
    • Usage
  • Project
    • Contribution process
    • Development guide
    • Versioning policy
    • Release process
    • Feast 0.9 vs Feast 0.10+
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On this page
  • Links & Resources
  • How can I get help?
  • Community Calls
  • Frequency (every 2 weeks)
  • Links

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Community

PreviousIntroductionNextRoadmap

Last updated 2 years ago

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Links & Resources

  • : Feel free to ask questions or say hello!

  • : We have both a user and developer mailing list.

    • Feast users should join group by clicking .

    • Feast developers should join group by clicking .

  • : Includes community calls and design meetings.

  • : This folder is used as a central repository for all Feast resources. For example:

    • Design proposals in the form of Request for Comments (RFC).

    • User surveys and meeting minutes.

    • Slide decks of conferences our contributors have spoken at.

  • : Find the complete Feast codebase on GitHub.

  • : Our LFAI wiki page contains links to resources for contributors and maintainers.

How can I get help?

  • Slack: Need to speak to a human? Come ask a question in our Slack channel (link above).

  • GitHub Issues: Found a bug or need a feature? .

  • StackOverflow: Need to ask a question on how to use Feast? We also monitor and respond to .

Community Calls

We have a user and contributor community call every two weeks (US & EU friendly).

Please join the above Feast user groups in order to see calendar invites to the community calls

Frequency (every 2 weeks)

  • Tuesday 10:00 am to 10:30 am PST

Links

Zoom:

Meeting notes (incl recordings):

Slack
Mailing list
feast-discuss@googlegroups.com
here
feast-dev@googlegroups.com
here
Community Calendar
Google Folder
Feast GitHub Repository
Feast Linux Foundation Wiki
Create an issue on GitHub
StackOverflow
https://zoom.us/j/6325193230
https://bit.ly/feast-notes