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KeerthiItigimat
by • New Contributor III
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  • 4 replies
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Databricks Data Quality - Agent Proposes, DQX Disposes

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...

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  • 454 Views
  • 4 replies
  • 3 kudos
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ivanvyd
New Contributor III
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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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___angel___
by • New Contributor II
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🧪 MAD DATA LAB: Wonderful. Something Is Wrong.

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...

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  • 0 replies
  • 1 kudos
AmitDECopilot
by • Contributor II
  • 3703 Views
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LTAP: What Databricks New Transactional-Analytical Architecture Means for Data Engineers

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...

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Agre_Celebal
by • New Contributor III
  • 4024 Views
  • 0 replies
  • 1 kudos

The Comparison: Why the Alternatives Fall Short for Databricks-Native Agentic Systems

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...

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