How do you design a scalable feature engineering and feature serving architecture in Azure ML?

A scalable feature architecture uses batch and streaming pipelines, centralized feature storage, offline-online consistency, and low-latency serving systems with governance.

Feature engineering at scale requires separation of compute-heavy transformations from real-time serving systems.

A robust Azure ML feature architecture includes:

3.…