Feature Store

A feature store ensures that machine learning features are managed in enterprise infrastructure rather than scattered across ad hoc notebooks. It helps the same feature definitions be used consistently across both training and live serving. This reduces feature duplication, controls leakage risk, and makes model operations more reliable. It is especially valuable in enterprise environments where many models depend on shared data signals.