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Every serious data platform grows a dead-letter table, and it always becomes a graveyard. Here is how we turned one into a self-healing queue — without letting a language model anywhere near the warehouse.Every data platform that takes quality seriou...
Thanks for sharing, @KeerthiItigimat, what a great breakdown. How do you handle rules changing while rows are waiting in quarantine? Does remediation keep the original checks, use the latest approved rules, or run both?
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THE PROBLEM THAT DOESN'T SHOW UP ON A DASHBOARD
Most small businesses don't fail because they run out of customers. They fail because they discov...
Hi, I’m Ángel. I build data systems, break them more often than I would like to admit, and write about what I learn at Angelic Articles (my new own website for articles, previously on Medium).What I enjoy most is usually not getting the answer. It is...
For years, enterprise data architecture has followed a familiar pattern.An application writes customer orders, account updates, inventory changes, or transactions into an operational database.Then data engineering takes over.We capture changes throug...
The OLTP architecture your agentic systems actually need, and how it compares to Supabase, Azure PostgreSQL, and Cosmos DBEarlier this year, Nikita Shamgunov — the engineer leading Databricks Lakebase — published a number that reframed my entire arch...