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  • Introduction
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    • Quickstart
    • Concepts
      • Overview
      • Data ingestion
      • Entity
      • Feature view
      • Feature retrieval
      • Point-in-time joins
      • Registry
      • [Alpha] Saved dataset
    • Architecture
      • Overview
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      • Offline store
      • Online store
      • Batch Materialization Engine
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    • Third party integrations
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    • Sample use-case tutorials
      • Driver ranking
      • Fraud detection on GCP
      • Real-time credit scoring on AWS
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    • 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
      • Scaling Feast
      • Structuring Feature Repos
    • Running Feast in production (e.g. on Kubernetes)
    • Customizing Feast
      • Adding a custom batch materialization engine
      • Adding a new offline store
      • Adding a new online store
      • Adding a custom provider
    • Adding or reusing tests
  • Reference
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    • Offline stores
      • Overview
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      • BigQuery
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      • Spark (contrib)
      • PostgreSQL (contrib)
      • Trino (contrib)
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      • Remote Offline
    • Online stores
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      • SingleStore (contrib)
    • Providers
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      • Azure
    • Batch Materialization Engines
      • Snowflake
      • AWS Lambda (alpha)
      • Spark (contrib)
    • Feature repository
      • feature_store.yaml
      • .feastignore
    • Feature servers
      • Python feature server
      • [Alpha] Go feature server
      • Offline Feature Server
    • [Beta] Web UI
    • [Beta] On demand feature view
    • [Alpha] Vector Database
    • [Alpha] Data quality monitoring
    • Feast CLI reference
    • Python API reference
    • Usage
  • Project
    • Contribution process
    • Development guide
    • Backwards Compatibility Policy
      • Maintainer Docs
    • Versioning policy
    • Release process
    • Feast 0.9 vs Feast 0.10+
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  1. Reference
  2. Online stores

Remote

Description

This remote online store will let you interact with remote feature server. At this moment this only supports the read operation. You can use this online store and able retrieve online features store.get_online_features from remote feature server.

Examples

The registry is pointing to registry of remote feature store. If it is not accessible then should be configured to use remote registry.

feature_store.yaml
project: my-local-project
  registry: /remote/data/registry.db
  provider: local
  online_store:
    path: http://localhost:6566
    type: remote
  entity_key_serialization_version: 2
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Last updated 9 months ago

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