Eugene Yan • 2/21/2021

Feature Stores: A Hierarchy of Needs

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This article analyzes feature stores, a key component in machine learning infrastructure. It discusses their growing importance, defines what they are, and presents a 'hierarchy of needs' framework (inspired by Maslow) to understand their core functions: Access, Serving, Integrity, Convenience, and Autopilot. The piece examines how different companies address these needs to improve ML model deployment and management.

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#Machine Learning #Data Engineering #Mlop
Feature Stores: A Hierarchy of Needs

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