- 7161 Views
- 4 replies
- 9 kudos
Building a Metadata Table-Driven Framework Using LakeFlow Declarative (Formerly DLT) Pipelines
IntroductionScaling data pipelines across an organization can be challenging, particularly when data sources, requirements, and transformation rules are always changing. A metadata table-driven framework using LakeFlow Declarative (Formerly DLT) enab...
- 7161 Views
- 4 replies
- 9 kudos
- 9 kudos
can you please share the details how this can be implemented using a sample use case in step by step process. Also python code that needs to written in each layer (bronze/silver/gold)
- 9 kudos
- 18953 Views
- 2 replies
- 8 kudos
Turning Databricks into an AI pair‑programmer with Claude‑powered coding agents
Databricks + Claude Code This guide walks through a practical, end‑to‑end setup: installing Claude Code, wiring it to Anthropic models served from Databricks, and configuring authentication so everything “just works” from your terminal and editor. Yo...
- 18953 Views
- 2 replies
- 8 kudos
- 8 kudos
I have yet to use Claude within Databricks - Thanks for this @pradeep_singh
- 8 kudos
- 977 Views
- 0 replies
- 1 kudos
Hive (Dark) Metastore — Azure Databricks Standard Tier Retirement is a great move
Retirement is planned for Azure in Oct 2026. Completed in other clouds in Oct 2025Data residing in the Hive Metastore is opaque, suffers from low governance and is siloed in legacy technical constructs. The Hive Metastore (HMS) was a technology revol...
- 977 Views
- 0 replies
- 1 kudos
- 1213 Views
- 0 replies
- 0 kudos
You can use built-in AI functions directly in Databricks SQL
Databricks provides built-in AI functions that can be used directly in SQL or notebooks, without managing models or infrastructure.Example:SELECT ticket_id, ai_generate( 'Summarize this support ticket:\n{{text}}', 'databricks-dbrx-instruct', descript...
- 1213 Views
- 0 replies
- 0 kudos
- 1248 Views
- 2 replies
- 8 kudos
How can I tell my Dashboard visualizations aren't stale?
With AI/BI Dashboards, a best practice is for the creator/owner to 'Schedule' the Dashboard to rerun the underlying datasets when changes have occurred. This ensures the Visualizations are rendered with the freshest data. But users still will questi...
- 1248 Views
- 2 replies
- 8 kudos
- 8 kudos
@mark_ott That is a nice idea and quite useful. Quick question: how did you define 'stale' data in your case? So what is the threshold at which your 'conditional equation' color codes the date red? did you somehow link that to the refresh schedule?
- 8 kudos
- 3574 Views
- 2 replies
- 6 kudos
Data + AI Is Not the Future at Databricks. It’s the Present.
One thing becomes very clear when you spend time in the Databricks community: AI is no longer an experiment. It is already part of how real teams build, ship, and operate data systems at scale.For a long time, many organizations treated data engineer...
- 3574 Views
- 2 replies
- 6 kudos
- 1759 Views
- 2 replies
- 3 kudos
Change default workspace access to Consumer access
When Databricks One was launched, the default behaviour of the system-managed users group was a major issue. Since every new user is automatically added to users group, and that group traditionally came with "Workspace Access" entitlements, admins ha...
- 1759 Views
- 2 replies
- 3 kudos
- 505 Views
- 0 replies
- 3 kudos
Very short video on tip about Collect() method!!!
Here is a very short video on how to use collect() method with caution as it could overwhelm the cluster in some big data scenarios!!!! Now only in Spanish but I guess youtube will do the trick to translate into very correct English xDD[video]
- 505 Views
- 0 replies
- 3 kudos
- 5366 Views
- 3 replies
- 6 kudos
A Governance-First Unified Namespace:Why Manufacturers Need Unity Catalog to Scale Industry 4.0 Data
The Industrial Data ChallengeManufacturing enterprises today operate with a fundamental paradox: they're drowning in data yet starving for insights. A typical plant generates terabytes of information daily across dozens of systems—from shop floor PLC...
- 5366 Views
- 3 replies
- 6 kudos
- 880 Views
- 0 replies
- 0 kudos
Great Expectations with Fabric and Databricks-Building Bulletproof Data Pipelines
In this article, I’ll walk you through transforming a basic PySpark notebook into a production-ready data pipeline with comprehensive quality checks using Great Expectations patterns in Microsoft Fabric and Databricks. We’ll start simple and progress...
- 880 Views
- 0 replies
- 0 kudos
- 965 Views
- 1 replies
- 1 kudos
Dashboards deployment
It is finally possible to deploy dashboards using DABS and change the catalog and schema. It is solving the biggest problem with bringing the dashboard to production. New parameters for the dashboard resource were added: dataset_catalog and dataset...
- 965 Views
- 1 replies
- 1 kudos
- 1 kudos
@Hubert-Dudek - This was really a much-awaited feature. Eventually DAB must cover all developed assets which requires promotion to higher environment to cover the CICD seamlessly.
- 1 kudos
- 1768 Views
- 1 replies
- 2 kudos
SQL Scripting - Procedural Logic in Databricks SQL (Without Leaving SQL)
We've all been there. You need to loop through a list of tables, apply some transformation, handle a few edge cases, and maybe catch an error or two. In most data platforms, that means switching to Python or Scala—even if 90% of your logic is just SQ...
- 1768 Views
- 1 replies
- 2 kudos
- 2 kudos
Correction: Preview is available on Databricks Runtime 16.3 and above.
- 2 kudos
- 7683 Views
- 0 replies
- 2 kudos
Databricks Serverless Compute: Performance, Cost, and Time-to-Value Explained
As data platforms mature, the focus is no longer just scalability—it is about speed, simplicity, and cost efficiency. Engineering teams want to deliver insights faster without managing infrastructure, while organizations want predictable costs and st...
- 7683 Views
- 0 replies
- 2 kudos
- 1223 Views
- 1 replies
- 1 kudos
Window Functions in Metrics Views
The latest update for the first week of 2026 is the addition of window functions in Metrics View. In enterprises, there are always measures like cumulative sales or rolling forecast, so it is really important that we can use window functions in busin...
- 1223 Views
- 1 replies
- 1 kudos
- 1 kudos
@Hubert-Dudek - Thanks for sharing these bite-size updates as these get lost in many release-notes. Keep it up.
- 1 kudos
- 514 Views
- 0 replies
- 2 kudos
Mix Shell with Python
Assigning the result of a shell command directly to a Python variable. It is my most significant finding in magic commands and my favourite one so far. Read about 12 magic commands in my blogs: - https://www.sunnydata.ai/blog/databricks-hidden-magic-...
- 514 Views
- 0 replies
- 2 kudos
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