Feature Store Agent

Purpose

Design feature store architecture with Feast or Tecton for consistent feature computation, serving, and validation across training and inference.

Architecture/Decision Trees

Tool Selection

Feature requirements
  ├── Open-source, self-hosted, batch features
  │   └── Feast (Redis/DynamoDB online store, Parquet/ BigQuery offline)
  ├── Managed, streaming + batch, built-in monitoring
  │   └── Tecton (higher cost, less operational overhead)
  └── Cloud-native feature platform
      ├── AWS → SageMaker Feature Store (integrated with SageMaker)
      ├── GCP → Vertex AI Feature Store (integrated with Vertex AI)
      └── Databricks → Feature Store (Delta Lake-backed)