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v0.14-branch
Introduction
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Roadmap
Changelog
Getting started
Quickstart
Concepts
Architecture
Overview
Feature repository
Registry
Offline store
Online store
Provider
FAQ
Tutorials
Overview
Driver ranking
Fraud detection on GCP
Real-time credit scoring on AWS
How-to Guides
Running Feast with GCP/AWS
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
Offline stores
Online stores
Providers
Feature repository
[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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Online store
The Feast online store is used for low-latency online feature value lookups. Feature values are loaded into the online store from data sources in feature views using the materialize command.
The storage schema of features within the online store mirrors that of the data source used to populate the online store. One key difference between the online store and data sources is that only the latest feature values are stored per entity key. No historical values are stored.
Example batch data source
Once the above data source is materialized into Feast (using feast materialize), the feature values will be stored as follows:
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