Designing Scalable Feature Store Architecture
Scalable Feature Store Design
As ML systems grow, feature management becomes complex. A scalable architecture separates feature computation, storage, and serving layers.
Key Components
- Data ingestion pipelines
- Offline storage layer
- Online low-latency store
- Metadata registry
Clear separation of concerns improves performance and maintainability.
