Feature Store
A feature store is a centralised service that stores, serves and versions the features used by machine-learning models — both for training (offline) and for production inference (online).
A feature store is a centralised service that stores, serves and versions the features used by machine-learning models — both for training (offline) and for production inference (online).
It addresses two classic problems of ML in production: reusing features across projects (a single customer lifetime value calculation can serve 10 models) and ensuring consistency between data seen at training time and at inference time (the infamous train/serve skew).
Reference solutions include Tecton, Feast (open source), Hopsworks, Databricks Feature Store and Vertex AI Feature Store.