A streaming feature pipeline is a program that continuously processes incoming data in real-time, extracting and computing features and writing those features to a feature store.
If you need very fresh precomputed features in your feature store, a streaming feature pipeline (written in a per-event stream processing framework, such as Apache Flink) will create features from events in your real-time message bus that are only a few seconds old.