What is hierarchical feature store architecture?

A hierarchical feature store organizes features across multiple layers such as raw, aggregated, and semantic features.

In advanced ML systems, features are structured in layers: raw event data, transformed features, and high-level semantic embeddings. A hierarchical feature store ensures consistent computation and reuse across pipelines. It supports lineage tracking and reduces duplication by enabling feature composition across layers.