- 2250 Views
- 1 replies
- 3 kudos
Solving Multi-Dimension Analytics in Databricks Dashboards with Views and Metric Views
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...
- 2250 Views
- 1 replies
- 3 kudos
- 3 kudos
Thanks for sharing great example with detailed explanation.
- 3 kudos
- 2855 Views
- 0 replies
- 1 kudos
How to actually get job_id and run_id in a Databricks Python wheel task (Avoid Hallucinations)
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...
- 2855 Views
- 0 replies
- 1 kudos
- 1749 Views
- 3 replies
- 1 kudos
PostgreSQL to Databricks made simpler with Lakeflow Connect(Public Preview)
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...
- 1749 Views
- 3 replies
- 1 kudos
- 1 kudos
You can enable or disable previews using account console for account level previews and workspace for workspace level previews.More details here
- 1 kudos
- 933 Views
- 0 replies
- 1 kudos
Turning Lakehouse into Brainhouse via Knowledge Graphs
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...
- 933 Views
- 0 replies
- 1 kudos
- 1415 Views
- 2 replies
- 1 kudos
Building a Large-Scale Supply Chain Simulation Platform on Databricks
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...
- 1415 Views
- 2 replies
- 1 kudos
- 1 kudos
Great article! would love to know more as I have a very similar case with a concrete customer. Thanks, S.
- 1 kudos
- 1513 Views
- 0 replies
- 1 kudos
It's time to treat AI as a peer, not a tool. What if your AI already knew Databricks?
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...
- 1513 Views
- 0 replies
- 1 kudos
- 1648 Views
- 0 replies
- 1 kudos
I Tried Building an Agentic AI System for Construction. Here’s What Actually Worked.
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...
- 1648 Views
- 0 replies
- 1 kudos
- 748 Views
- 0 replies
- 1 kudos
Databricks Transactions - Enforcing Business Validation Rules via SQL SIGNAL
Combining SIGNAL statement with ATOMIC transactions in Databricks saves us from managing commits & rollbacks along with managing custom validations seamlessly - something that modern big data ETL frameworks struggle to deliver cleanly. They give the ...
- 748 Views
- 0 replies
- 1 kudos
- 1472 Views
- 0 replies
- 1 kudos
𝗦𝗜𝗘𝗠 𝗶𝘀 𝗹𝗲𝗴𝗮𝗰𝘆. Here's why, and what becomes possible when you move security operations
I've spent years migrating SOC operations from traditional SIEM to Databricks. Not because it's trendy, but because SIEM has fundamental problems that no vendor update will fix: proprietary query languages that lock you in, no version control or test...
- 1472 Views
- 0 replies
- 1 kudos
- 1818 Views
- 9 replies
- 6 kudos
Streaming Failure Models: Why "It Didn't Crash" Is the Worst Outcome
Most Databricks streaming failures don't look dramatic.No cluster termination. No red wall of errors. The UI says RUNNING — and your customers start reporting nonsense.I wrote about the incident that changed how we think about streaming jobs on share...
- 1818 Views
- 9 replies
- 6 kudos
- 6 kudos
Completely agree, production war stories are worth more than any documentation. I’ve eaten enough teeth on production data lake issues to write my own chapter on what can go wrong, whether that’s deploying Databricks in financial institutions or bein...
- 6 kudos
- 439 Views
- 0 replies
- 1 kudos
Built a NiFi processor for Zerobus Ingest - gotchas the docs won’t tell you
Zerobus went GA on February 23rd. Connector ecosystem: empty. I run NiFi for security telemetry so I built the processor myself. Apache 2.0, source on GitHub.NiFi uses NAR packaging — each archive gets its own classloader. The Zerobus Java SDK is JNI...
- 439 Views
- 0 replies
- 1 kudos
- 1144 Views
- 0 replies
- 3 kudos
Databricks Multi Table Transactions - All Data or Nothing
Databricks introduces multi-table transactions, allowing operations across multiple Delta tables to execute as a single atomic unit. Delta Lake has provided ACID guarantees at the table level, but ensuring atomicity across multiple tables previously ...
- 1144 Views
- 0 replies
- 3 kudos
- 824 Views
- 1 replies
- 2 kudos
Multi-Task on a Shared Cluster — Why That's Also Not Enough
Part 2 of 3 — Databricks Streaming ArchitectureThe instinct after Part 1 was obvious.If running eight queries in one task means one failure can hide while others keep running — split them into multiple tasks. Separate concerns. Give each component it...
- 824 Views
- 1 replies
- 2 kudos
- 2 kudos
Part 1: Streaming Failure Models: Why "It Didn't Crash" Is the Worst OutcomePart 3: One Cluster per Task — Proven, Ready, and Waiting
- 2 kudos
- 1024 Views
- 0 replies
- 1 kudos
Enterprise Data Platform Architecture on Azure with Databricks
Hi everyone,I recently wrote an article on designing an enterprise-scale data platform architecture using Azure and Databricks.The article covers:• End-to-end architecture for enterprise data platforms• Data ingestion using Azure Data Factory and Kaf...
- 1024 Views
- 0 replies
- 1 kudos
- 2174 Views
- 0 replies
- 5 kudos
One Policy to Mask Them All: ABAC + VARIANT in Unity Catalog
Databricks ABAC lets you apply a single schema-level policy across columns of any data type — no more managing one mask function per type. Here's how to use the VARIANT data type to make it work. If you've implemented column masking in Unity Catalog,...
- 2174 Views
- 0 replies
- 5 kudos
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