Feature Stores

What problem does it solve?

This Skill addresses the challenges of managing machine learning features consistently across training and inference, preventing training-serving skew and simplifying feature reuse.

Core Features & Use Cases

• Centralized Feature Management: Define, store, and serve features from a single source of truth.
• Online/Offline Serving: Provides low-latency features for real-time inference and historical features for model training.
• Feature Engineering Pipelines: Supports batch and streaming pipelines for feature computation.
• Use Case: A data science team can define features like "customer lifetime value" once and use them for both batch model training and real-time fraud detection, ensuring consistency.

Quick Start

Use the feature stores skill to define and register customer statistics features using Feast.