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Feature Store Basics

Centralize ML features

A feature store keeps documented, versioned features with online/offline views, reducing duplication and training-serving skew in ML systems.

Define and Document

Create clear feature definitions, owners, and refresh cadences.

Serve Online/Offline

Provide low-latency online access and batch offline tables consistently.

Govern

Version features, monitor freshness, and deprecate unused ones.

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