Databricks Clean Rooms are secure & governed collaboration environments that enable various organizations to run joint analytics without exchanging raw data eliminating sensitive data exposure. Its built-on Delta Sharing, Serverless and Unity Catalog...
I. IntroductionData pipelines are the lifeblood of modern data-driven organizations. However, even the most robust pipelines can experience unexpected issues: data corruption, erroneous updates, or sudden data drops. When these problems occur, quickl...
Great thought to use delta time travel to determine when data drift starts!But this only works as long as retention policies allow it. With vacuum and stricter runtime enforcement in newer dbx versions, older snapshots may not be there when you need ...
Hi everyone,I built Intelligence Studio, an open-source workbench that lets you browse, test, analyse, and integrate with 640+ Databricks REST APIs -- all from one interface. No more juggling docs, curl commands, Postman collections, and multiple bro...
Hey Team, in my last post I asked how much AI has actually changed your day to day, and the responses were fantastic. But let's talk about the other side for a minute. I'll go first — I've started second-guessing almost everything I see on social med...
AI tools generate code & pipelines that work functionally but ignore efficiency, scalability & cloud implications. I have bumped into belowCode generated by AI does a SQL cross join as its simple for most natural language queries that works but kills...
If you've ever worked on an insurance data warehouse, or really any warehouse where data arrives from different systems at different times, you know the pain of keeping things in sync. I spent years building data warehouses for a property and casual...
In Part 1, we covered why multi-table transactions matter. Now let's build one. We'll create the tables from the claim wrap-up scenario, load sample P&C insurance data, and walk through what happens when the wrap-up succeeds, when it fails, and when...
Hi Guys, I have passed it already some time ago, but just recently have summarized all the materials which helped me to do it. Pay special attention to GitHub repository, which contains many great exercises prepared by Databricks teamhttps://youtu.be...
Cleared Databricks Data Engineering Associate recently. Practising real questions helped me a lot, and (Certs Topic) was a reliable resource.
If you've ever built a dashboard where you needed to track the same data across two different date dimensions, you know the frustration. You get the first chart working. You add the second. Then you realise cross-filtering just stopped working. I re...
Thanks for sharing great example with detailed explanation.
We needed job_id and run_id in a custom metrics Delta table so we could join to `system.lakeflow.job_run_timeline`. Tried four approaches before finding the one that works on serverless compute.What doesn't workspark.conf.get("spark.databricks.job.id...
Overview Prompted by a customer question, I wanted to see what was possible in terms of MCP integration into Genie Code, in order to try this out I decided to look at Azure Dev Ops, as it's a common workflow to want to see your tickets alongside the ...
PostgreSQL to Databricks made simpler with Lakeflow Connect (Public Preview).Databricks has introduced a PostgreSQL connector in Lakeflow Connect (Public Preview), enabling ingestion of PostgreSQL data into the Lakehouse using logical replication.Ins...
You can enable or disable previews using account console for account level previews and workspace for workspace level previews.More details here
Organizations solved the challenge of collecting, cleaning & governing structured data at scale via Delta Lake and Unity Catalog in Lakehouse. You have world class lineage, permissions, RBAC, ABAC and schemas as the nervous system. The nervous system...
A Data & AI–Driven Decision Engine for Modern Retail NetworksIntroductionIn modern retail, supply chains are no longer static networks — they are living, adaptive systems that must continuously respond to customer demand, fulfillment speed expectatio...
Great article! would love to know more as I have a very similar case with a concrete customer. Thanks, S.
We need to stop treating AI as a tool. It's time to treat it as a peer.I've been building a library of reusable skills for Claude — structured instructions that let AI agents handle complex, repetitive development workflows on Databricks and Azure AI...
Most construction teams don’t really have a data problem, at least not in the way we usually think about it. They already have dashboards everywhere. Finance has reports, project managers have schedule views, field teams have inspection logs. Everyon...
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