Medium

This post details the evolution of Netflix's ML Fact Store, a system designed to store and serve machine learning features for various applications. It covers the challenges of scaling the store, improving data freshness, and enabling efficient feature retrieval. The evolution includes architectural changes to handle increasing data volumes and query loads, as well as optimizations for feature computation and serving.