AI engineering glossary · Feature engineering data prep
What is feature store?
Feature store: A central system that stores, documents and serves computed features for both training and real-time prediction, keeping definitions consistent and reusable across teams. It helps avoid training-serving skew and duplicated work.
Feature store: an example
A fintech team computes 'transactions_last_30d' once in the feature store, and both the credit model and the fraud model reuse it.
Related terms
More Feature engineering data prep terms
- Feature transformation
- Filter method
- Fit-transform pattern
- Forward selection
- Frequency encoding
- Geospatial features
- Group-aware splitting
- Hashing trick
Where you learn it
Feature store is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.