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AI & Machine Learning · Intermediate

Feature Store

A centralized repository for storing, sharing and serving ML features consistently for training and inference.

Definition

Feature stores provide an offline store for training and an online low-latency store for real-time inference, ensuring the same feature definitions are used in both and preventing training-serving skew. Examples include SageMaker Feature Store, Vertex AI Feature Store and Databricks Feature Engineering.

Exam tip

Feature stores solve training-serving skew and feature reuse across teams.

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