- 2622 Views
- 3 replies
- 9 kudos
Medallion Architecture in Practice: The Design Decisions Nobody Puts in the Diagram
Medallion Architecture in Practice: The Design Decisions Nobody Puts in the DiagramEvery Lakehouse conversation eventually shows the same three boxes: Bronze, Silver, Gold. It's a great mental model — but on a real enterprise migration, the diagram i...
- 2622 Views
- 3 replies
- 9 kudos
- 9 kudos
Great work, man! Even though I don't know much about this field, your article made me curious and motivated me to read more about it. Thanks for sharing such valuable insights.keep posting
- 9 kudos
- 1296 Views
- 1 replies
- 3 kudos
Not Every Pipeline Needs DLT — Here's How We Decided
Why We Used Delta Live Tables for Exactly One Pipeline (and Not for Silver/Gold)"Why isn't DLT used everywhere?" is one of the first questions I get when reviewing this architecture with other engineers — so I figured it was worth writing up properly...
- 1296 Views
- 1 replies
- 3 kudos
- 3 kudos
I must admit, this was a nagging question I never asked as a junior data engineer and have just taken for granted every since. Thanks for addressing an oversight I didnt even know I had!
- 3 kudos
- 845 Views
- 0 replies
- 0 kudos
The Boring Truth Behind a 60% Speedup
How We Cut Refresh Time and Compute Cost by ~60% — the Mechanics, Not Just the Headline"We reduced compute costs by 60%" is a great line in a slide deck and a mostly useless one in a technical forum, because it doesn't tell you why. Here's the actual...
- 845 Views
- 0 replies
- 0 kudos
- 783 Views
- 0 replies
- 0 kudos
E2E MLOps Part 1: How to build and govern models with AutoML, MLflow, and Unity Catalog
In enterprise environments, the bottleneck of Machine Learning is rarely the algorithms themselves—it is the engineering around them. Data scientists often spend days configuring environments, managing infrastructure, and manually tracking model iter...
- 783 Views
- 0 replies
- 0 kudos
- 5270 Views
- 4 replies
- 3 kudos
Introduction to Metric Views (part 1 of 3)
This is part 1 of 3 in a series where I take you through working with Metric Views.Part 1: Introduction to Metric ViewsPart 2: Metric Views and the Databricks platform (AI/BI Dashboards, Genie, etc.)Part 3: Metric Views with Power BI and Tabular Edit...
- 5270 Views
- 4 replies
- 3 kudos
- 3 kudos
Great introduction! A centralized semantic layer with Metric Views should make metrics more consistent and easier to govern across Databricks. Looking forward to seeing the real-world integrations in Part 2.
- 3 kudos
- 15547 Views
- 5 replies
- 4 kudos
Getting Certified as a Databricks Generative AI Engineer Associate: Key Takeaways and Insights
I just earned my Databricks Certified Generative AI Engineer Associate Certification, and in this post, I’m sharing the key tips, resources, and including what confused me, what actually worked, and the traps I nearly fell into. Why I Took This ExamI...
- 15547 Views
- 5 replies
- 4 kudos
- 4 kudos
Thanks for sharing,do you know what is the passing score to clear the exam?
- 4 kudos
- 701 Views
- 0 replies
- 0 kudos
Learning Series | Machine Learning at Scale
Databricks Academy offers the free Machine Learning at Scale course to help machine learning practitioners understand how Apache Spark supports ML workloads on Databricks. As the first course in the Advanced Machine Learning series, it focuses on pra...
- 701 Views
- 0 replies
- 0 kudos
- 690 Views
- 0 replies
- 0 kudos
Solution Accelerator Series | Building Common Sense Product Recommendations With LLMs
Product recommendations help guide customers through their shopping journey. The Building Common Sense Product Recommendations With LLMs Solution Accelerator shows how retailers can use LLMs to develop recommendations for new-to-market products by tu...
- 690 Views
- 0 replies
- 0 kudos
- 528 Views
- 0 replies
- 0 kudos
What Lean Data Teams Get Wrong When Evaluating Databricks
Every few weeks, the same conversation plays out in mid-sized data teams. Someone hits a wall with the current warehouse, a demo of Databricks goes well, and suddenly the question on the table is "should we migrate?" The problem is that most teams ev...
- 528 Views
- 0 replies
- 0 kudos
- 725 Views
- 0 replies
- 2 kudos
The Lakehouse Is the Trust Boundary
Dear Databricks Community,I would like to share a few thoughts on how the role of data platforms may evolve in the agentic AI era. Inspired by Satya Nadella’s recent article on the “Reverse Information Paradox,” I started thinking about a deeper ques...
- 725 Views
- 0 replies
- 2 kudos
- 549 Views
- 0 replies
- 1 kudos
Questions for Choosing a Databricks Partner, and what I'd add after living with the platform
I came across this checklist for hiring a Databricks implementation partner, and it turned out to be the best in-house build checklist I've read in a while. 27 Questions to Choose a Databricks Implementation Partner looks like procurement filler at f...
- 549 Views
- 0 replies
- 1 kudos
- 705 Views
- 0 replies
- 1 kudos
Building a Custom FastMCP Server on Databricks - What the Managed Genie Can't Do.
I Built a Custom MCP Server on Databricks — Here’s What the Managed Version Can’t DoPart 2 of the MCP on Databricks seriesIn Part 1, I covered what Genie MCP and DBSQL MCP give you out of the box — and where they stop.The short version: both are stat...
- 705 Views
- 0 replies
- 1 kudos
- 593 Views
- 0 replies
- 0 kudos
Learning Series | Automated Deployment with Declarative Automation Bundles
Databricks Academy offers the free Automated Deployment with Declarative Automation Bundles course to help data engineers apply DevOps practices to Databricks projects. As the fourth course in the Advanced Data Engineering with Databricks series, it ...
- 593 Views
- 0 replies
- 0 kudos
- 893 Views
- 0 replies
- 0 kudos
AI Technical Debt in Databricks: Why Generated Spark SQL and PySpark Still Need Metadata, Review
AI-assisted coding is changing how data engineers build on Databricks.A developer can now generate Spark SQL, PySpark transformations, Delta table DDL, pipeline logic, data-quality checks, documentation, and test scenarios much faster than before. W...
- 893 Views
- 0 replies
- 0 kudos
- 988 Views
- 0 replies
- 1 kudos
Solution Accelerator Series | Identify Fraud With Geospatial Analytics and AI
Fraud detection becomes more effective when organizations can understand where and how customers normally spend. The Identify Fraud With Geospatial Analytics and AI Solution Accelerator shows how geospatial data, machine learning and a lakehouse arch...
- 988 Views
- 0 replies
- 1 kudos
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