Unify the data from your training and serving pipelines in a central feature store to prevent training-serving skew and make features sharable within your team.
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).
