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Forum Posts

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

Databricks Advent Calendar 2025 #23

Our calendar is coming to an end. One of the most significant innovations of last year is Agent Bricks. We received a few ready-made solutions for deploying agents. As the Agents ecosystem becomes more complex, one of my favourites is the Multi-Agent...

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  • 443 Views
  • 0 replies
  • 1 kudos
Hubert-Dudek
by Databricks MVP
  • 406 Views
  • 0 replies
  • 1 kudos

Databricks Advent Calendar 2025 #22

During the last two weeks, five new Lakeflow Connect connectors were announced. It allows incremental ingestion of the data in an easy way. In the coming weeks, there will be more announcements about Lakeflow Connect, and we can expect Databricks to ...

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  • 406 Views
  • 0 replies
  • 1 kudos
Hubert-Dudek
by Databricks MVP
  • 436 Views
  • 0 replies
  • 1 kudos

Databricks Advent Calendar 2025 #21

Your stream can have a state, and now, with TransformWithStateInPandas, it’s easy to manage - you can handle things like initial state, deduplication, recovery, etc., with the 2025 improvements.

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  • 436 Views
  • 0 replies
  • 1 kudos
Hubert-Dudek
by Databricks MVP
  • 511 Views
  • 0 replies
  • 1 kudos

Databricks Advent Calendar 2025 #19

In 2025, Metrics Views are becoming the standard way to define business logic once and reuse it everywhere. Instead of repeating complex SQL, teams can work with clean, consistent metrics.

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  • 511 Views
  • 0 replies
  • 1 kudos
Hubert-Dudek
by Databricks MVP
  • 589 Views
  • 1 replies
  • 2 kudos

Databricks Advent Calendar 2025 #18

Automatic file retention in the autoloader is one of my favourite new features of 2025. Automatically move cloud files to cold storage or just delete.

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  • 589 Views
  • 1 replies
  • 2 kudos
Latest Reply
szymon_dybczak
Esteemed Contributor III
  • 2 kudos

Thanks for sharing @Hubert-Dudek ! That's a really great feature. It simplified a lot data maintenance process at one of my clients

  • 2 kudos
Louis_Frolio
by Databricks Employee
  • 1865 Views
  • 3 replies
  • 22 kudos

Training That Scales: How Databricks Adoption Really Takes Hold

I teach Databricks to all sorts of folks, coders, managers—everyone. What’s wild is how two companies with the same setup can have totally different experiences. Usually, it’s not the tech itself that’s the issue, but how people see it. Databricks tr...

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  • 1865 Views
  • 3 replies
  • 22 kudos
Latest Reply
Daniel-Staiger
Databricks Employee
  • 22 kudos

As someone who benefited from Louis Training, I can attest that it makes a difference to constantly keep up to date and work on the foundation of understanding.Especially when things move so fast as in our industry, the time to reflect and improve pa...

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Ajay-Pandey
by Databricks MVP
  • 9127 Views
  • 8 replies
  • 7 kudos

Cross-filtering for AI/BI dashboards

AI/BI dashboards now support cross-filtering, which allows you to click on an element in one chart to filter and update related data in other charts.Cross-filtering allows users to interactively explore relationships and patterns across multiple visu...

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Community Articles
AI BI
Cross-filtering
Dashboards
reports
  • 9127 Views
  • 8 replies
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Latest Reply
SFDataEng
Contributor
  • 7 kudos

There does appear to now be a list of capsules indicating the filters applied along the top of Databricks AI/BI Dashboards.  The capsules appear to include filter-selectors and also cross-filters added by clicking charts.Also, there is a now "Reset t...

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7 More Replies
Hubert-Dudek
by Databricks MVP
  • 389 Views
  • 0 replies
  • 2 kudos

Databricks Advent Calendar 2025 #17

Replacing records for the entire date with newly arriving data for the given date is a typical design pattern. Now, thanks to simple REPLACE USING in Databricks, it is easier than ever! 

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  • 389 Views
  • 0 replies
  • 2 kudos
Hubert-Dudek
by Databricks MVP
  • 729 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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  • 729 Views
  • 2 replies
  • 3 kudos
Latest Reply
Raman_Unifeye
Honored Contributor III
  • 3 kudos

useful one

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1 More Replies
Hubert-Dudek
by Databricks MVP
  • 462 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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  • 462 Views
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Hubert-Dudek
by Databricks MVP
  • 470 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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  • 470 Views
  • 0 replies
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AbhaySingh
by Databricks Employee
  • 5598 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...

  • 5598 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
  • 453 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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  • 453 Views
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