Feast (Feature Store) is an operational data system for managing and serving machine learning features to models in production. Feast is able to serve feature data to models from a low-latency online store (for real-time prediction) or from an offline store (for scale-out batch scoring or model training).


* Operationalize your analytics data
* Ensure consistency across training and serving
* Reuse your current infrastructure
* Standardize your data workflows across teams

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