Scaling Feature Engineering Pipelines with Feast and Ray

Feast and Ray enable scalable feature engineering for production ML systems. Feast, a feature store, manages and serves ML features efficiently, while Ray's distributed computing framework handles large-scale data processing. Together, they optimize pipeline performance, reduce latency, and improve model serving reliability in enterprise environments.