In this article, I’ll describe why microservice oriented architectures suck for machine learning. I’ll then lay out how companies like AirBnB and Uber used a feature store like StreamSQL to manage it.
Feature stores allow you to define your ML feature definitions declaratively and use them across training and serving. It enables teams to share, re-use, and discover these features across teams and models. It also manages feature versioning and monitoring. Their ultimate goal is to allow ML teams to focus on building models rather than data pipelines.

#feature-engineering #data-science #machine-learning #data-engineering #feature-store