H2O Feature Store

What this post added

This post introduces the H2O Feature Store, detailing its purpose, benefits, and how it works. It highlights key features such as security and governance (data versioning, lineage, encryption), operational efficiency (API integration, reduced duplication), AI collaboration (feature sharing, single source of truth), and accuracy/reliability (backtesting, time travel, bias identification, drift detection). The post also outlines the six-step workflow: Data Ingest, Transform, Recommend, Monitor, Feature Serving, and Consume, and describes the benefits for Data and ML Engineers and Data Scientists.