What is a feature store and when does it make sense to use one?

A feature store centralizes feature definitions and provides consistent features for offline training and online inference. It helps reduce duplication, prevent training-serving skew, and improve governance. Use it when many models share features, feature computation is complex, or you need strict consistency and monitoring.