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Streamlining ML development with Feast

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Data scientists and other ML practitioners are increasingly relying on a new kind of data platform: the ML feature store. This specialized offering can help organizations simplify the management of their ML feature data and make their ML model development efforts more scalable. Feature stores take on the core tasks of managing the code that organizations use to generate ML features, running this code on unprocessed data, and deploying these features to production in user-facing applications. Feature stores typically integrate with a data warehouse, object storage, and an operational storage system for application serving...

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