Perspectives from the practitioners building data and AI systems inside serious enterprises.
Why the least glamorous idea in the modern data stack is quietly the highest-leverage one for teams tired of 3AM pages.
A practical evaluation framework for teams shipping copilots and RAG systems — without inventing a research lab.
The five levers that actually move data platform cost, ranked by impact — and the three that don't.
Why the metrics layer is the most underrated piece of your data platform — and how to design one that scales.
Team topologies that work when analytics, ML, and platform blur together — and the ones that don't.
Lessons from moving 12 PB of data to Apache Iceberg without downtime — and what we'd do differently.
