Showing posts for Data Engineering. Longer essays and technical guides on MLOps, data engineering, AI architecture, Azure and the platform concerns that tend to show up after the model finally works.
Medallion architecture for engineers: design raw data, trusted views and published data products with clear contracts, replay paths and ownership.
A practical guide for architects and ML teams: what a feature store is, when you need one, which feature store use cases are compelling, and which simpler alternatives are often enough.