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Forum Posts

Hubert-Dudek
by • Databricks MVP
  • 1002 Views
  • 2 replies
  • 3 kudos

Databricks Advent Calendar 2025 #11

Real-time mode is a breakthrough that lets Spark utilize all available CPUs to process records with single-millisecond latency, while decoupling checkpointing from per-record processing.

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  • 1002 Views
  • 2 replies
  • 3 kudos
Latest Reply
Raman_Unifeye
Honored Contributor III
  • 3 kudos

useful one

  • 3 kudos
1 More Replies
Hubert-Dudek
by • Databricks MVP
  • 633 Views
  • 0 replies
  • 0 kudos

Databricks Advent Calendar 2025 #16

For many data engineers who love PySpark, the most significant improvement of 2025 was the addition of merge to the dataframe API, so no more Delta library or SQL is needed to perform MERGE. p.s. I still prefer SQL MERGE inside spark.sql()

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  • 633 Views
  • 0 replies
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Hubert-Dudek
by • Databricks MVP
  • 659 Views
  • 0 replies
  • 2 kudos

Databricks Advent Calendar 2025 #15

New Lakakebase experience is a game-changer for transactional databases. That functionality is fantastic. Autoscaling to zero makes it really cost-effective. Do you need to deploy to prod? Just branch the production database to the release branch, an...

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  • 659 Views
  • 0 replies
  • 2 kudos
AbhaySingh
by • Databricks Employee
  • 7222 Views
  • 1 replies
  • 3 kudos

Unity Catalog Lineage: Lineage That Just Works

I've been working with Unity Catalog's lineage capabilities for a while now, and I have to say—this is what lineage should have always been. Not a separate tool to configure. Not a manual process to maintain. Just automatic, real-time visibility into...

  • 7222 Views
  • 1 replies
  • 3 kudos
Latest Reply
Raman_Unifeye
Honored Contributor III
  • 3 kudos

I have been using and implementing UC in various workspaces across industry, BYOL is the one I am really looking forward to implement next.Thanks @AbhaySingh for consolidating it here.

  • 3 kudos
Hubert-Dudek
by • Databricks MVP
  • 611 Views
  • 0 replies
  • 0 kudos

Databricks Advent Calendar 2025 #14

Ingestion from SharePoint is now available directly in PySpark. Just define a connection and use spark-read or, even better, spark-readStream with an autoloader. Just specify the file type and options for that file (pdf, csv, Excel, etc.)

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  • 611 Views
  • 0 replies
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Hubert-Dudek
by • Databricks MVP
  • 655 Views
  • 0 replies
  • 0 kudos

Databricks Advent Calendar 2025 #13

ZeroBus changes the game: you can now push event data directly into Databricks, even from on-prem. No extra event layer needed. Every Unity Catalog table can act as an endpoint.

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  • 655 Views
  • 0 replies
  • 0 kudos
Hubert-Dudek
by • Databricks MVP
  • 675 Views
  • 0 replies
  • 1 kudos

Databricks Advent Calendar 2025 #12

All leading LLMs are available natively in Databricks: - ChatGPT 5.2 from the day of the premiere! - System catalog with AI schema in Unity Catalog has multiple LLMs ready to serve! - OpenAI, Gemini, and Anthropic are available side by side!

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  • 675 Views
  • 0 replies
  • 1 kudos
Hubert-Dudek
by • Databricks MVP
  • 640 Views
  • 0 replies
  • 2 kudos

Databricks Advent Calendar 2025 #10

Databricks goes native on Excel. You can now ingest + query .xls/.xlsx directly in Databricks (SQL + PySpark, batch and streaming), with auto schema/type inference, sheet + cell-range targeting, and evaluated formulas, no extra libraries anymore.

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  • 640 Views
  • 0 replies
  • 2 kudos
Hubert-Dudek
by • Databricks MVP
  • 556 Views
  • 0 replies
  • 2 kudos

Databricks Advent Calendar 2025 #9

Tags, whether manually assigned or automatically assigned by the “data classification” service, can be protected using policies. Column masking can automatically mask columns with a given tag for all except some with elevated access.

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  • 556 Views
  • 0 replies
  • 2 kudos
vinaygazula
by • New Contributor II
  • 1857 Views
  • 1 replies
  • 1 kudos

Building an AgenticLakehouse: Interacting with Databricks Workspace via LangGraph and MCP

This project, AgenticLakehouse, explores the cutting edge of "Agentic Data Analytics." I didn't just want a chatbot; I wanted a "living" interface for the Lakehouse. The result is a Multi-Agent System that intelligently orchestrates tasks, from query...

  • 1857 Views
  • 1 replies
  • 1 kudos
Latest Reply
Advika
Community Manager
  • 1 kudos

Looks great, solid LangGraph + MCP setup on Databricks Apps. Thanks for sharing, @vinaygazula!

  • 1 kudos
AbhaySingh
by • Databricks Employee
  • 6961 Views
  • 0 replies
  • 4 kudos

Semantic Bridge to Unity Catalog

How Ontos bridges the gap between technical metadata and business meaning Here's a scenario that might sound familiar. You've got Unity Catalog humming along—tables are registered, lineage is tracked, access controls are in place. Technically, every...

  • 6961 Views
  • 0 replies
  • 4 kudos
Raman_Unifeye
by • Honored Contributor III
  • 2893 Views
  • 4 replies
  • 5 kudos

Spark Jobs View on a serverless cluster!! Naah.....

Have you ever noticed (and wondered) that the wonderful Spark Job UI is no longer available in the databricks notebook if the cell is executed using 'serverless' cluster?Tradionally, whenever we run the spark code (action command), we used to see the...

  • 2893 Views
  • 4 replies
  • 5 kudos
Latest Reply
Senga98
Contributor
  • 5 kudos

Hi RamanThank you for the amazing insights! I am trying to understand more about SQL Warehouses - is it managed by Unity Catalog? From what I could gather, SQL Warehouse is a compute layer, not a data layer and therefore not managed by Unity Catalog....

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Hubert-Dudek
by • Databricks MVP
  • 626 Views
  • 0 replies
  • 2 kudos

Databricks Advent Calendar 2025 #7

Imagine all a data engineer or analyst needs to do to read from a REST API is use spark.read(), no direct request calls, no manual JSON parsing - just spark .read. That’s the power of a custom Spark Data Source. Soon, we will see a surge of open-sour...

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  • 626 Views
  • 0 replies
  • 2 kudos
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