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  • Introduction
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  • Getting started
    • Quickstart
    • Concepts
      • Overview
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    • Architecture
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    • Third party integrations
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    • Real-time credit scoring on AWS
  • How-to Guides
    • Running Feast with 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
    • Upgrading from Feast 0.9
    • Adding a custom provider
    • Adding a new online store
    • Adding a new offline store
    • Adding or reusing tests
  • Reference
    • Data sources
      • File
      • BigQuery
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    • Offline stores
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    • Providers
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    • Feature repository
      • feature_store.yaml
      • .feastignore
    • [Alpha] On demand feature view
    • [Alpha] Local feature server
    • [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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  1. How-to Guides
  2. Running Feast with GCP/AWS

Install Feast

Install Feast using pip:

pip install feast

Install Feast with GCP dependencies (required when using BigQuery or Firestore):

pip install 'feast[gcp]'

Install Feast with AWS dependencies (required when using Redshift or DynamoDB):

pip install 'feast[aws]'
PreviousRunning Feast with GCP/AWSNextCreate a feature repository

Last updated 3 years ago

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