Guides ยท Technology
ML Feature Store Basics
Serve consistent ML features
A feature store standardizes feature definitions, computes them in batch/stream, and serves them consistently for training and online inference with lineage and quality monitoring.
- feature store
- mlops
- features
- online serving
- batch
Define Once
Centralize feature definitions with owners and metadata.
Materialize
Compute in batch/stream; serve online with low latency.
Validate
Monitor freshness, quality, and training/serving skew.