In this webinar, we introduce the challenge of managing historical feature data for ML systems and the role of Delta Lake in low-cost, high-performance storage and querying of feature data. In particular, we present Delta Lake for Feature Stores - data platforms for storing, managing, and serving feature data. Feature stores are the shared data layer that connects ML Pipelines to make complete ML systems.

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