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Forum Posts

Hubert-Dudek
by Databricks MVP
  • 431 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-...

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  • 431 Views
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Hubert-Dudek
by Databricks MVP
  • 533 Views
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Capture magic command

%%capture magic command not only suppresses cell output but also assigns it to a variable. You can later print cell output just by using the standard print() function #databricksRead about 12 magic commands in my blogs:- https://www.sunnydata.ai/blog...

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  • 533 Views
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Hubert-Dudek
by Databricks MVP
  • 568 Views
  • 1 replies
  • 3 kudos

Identifiers Everywhere

Last from "everywhere" improvements in Spark 4.1 / Runtime 18 is IDENTIFIER(). Lack of support for IDENTIFIER() in many places is a major pain, especially when creating things like Materialized Views or Dashboard Queries. Of course, we need to wait a...

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  • 568 Views
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Latest Reply
szymon_dybczak
Esteemed Contributor III
  • 3 kudos

Thanks for sharing @Hubert-Dudek !

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Hubert-Dudek
by Databricks MVP
  • 1058 Views
  • 0 replies
  • 3 kudos

Secret magic commands

Secret magic commands, there are a lot of them. Check my blogs to see which one can simplify your daily work. First one is %%writefile, which can be used to write a new file, for example, another notebook #databricks more magic commands:- https://dat...

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  • 1058 Views
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joseph_in_sf
by New Contributor III
  • 607 Views
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Turn PRDs into Databricks PySpark pipelines with Agentic AI using Docker, Ollama, and QWEN3:4b

I’ve seen many examples of AI that can help you code individual routines and such, mostly junior-level coding help. The goal of this POC is to give the AI a general PRD containing coding examples and have it generate a Databricks pipeline from such.R...

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

Runtime 18 / Spark 4.1 improvements

Runtime 18 / Spark 4.1 brings parameter markers everywhere #databricks Latest updates: read: https://databrickster.medium.com/databricks-news-week-1-29-december-2025-to-4-january-2025-432c6231d8b1 watch:https://www.youtube.com/watch?v=LLjoTkceKQI

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  • 882 Views
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Abhilash_P
by Databricks Partner
  • 9161 Views
  • 4 replies
  • 6 kudos

Metric Views in Databricks: A Unified Approach to Business Metrics

Databricks has introduced a powerful feature—Metric Views—that transforms how organizations define, manage, and consume business metrics. Whether you're a data analyst, engineer, or business stakeholder, Metric Views offer a unified, governed, and re...

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  • 9161 Views
  • 4 replies
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Latest Reply
Michael_Appiah
Databricks Partner
  • 6 kudos

@BijuThottathil : I don't have a workaround for you, but wanted to let you know that you can vote here https://community.fabric.microsoft.com/t5/Fabric-Ideas/Enable-native-Power-BI-integration-with-Databricks-Metric-View/idi-p/4823684Hopefully, Micro...

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BijuThottathil
by New Contributor III
  • 1801 Views
  • 0 replies
  • 2 kudos

Zero-Copy, Zero Friction: Bridging the Gap Between Databricks and Microsoft Fabric using Delta Share

Databricks Microsoft Fabric: Zero-Copy Integration with Delta SharingManaging data across different ecosystems usually means messy ETL pipelines and high storage costs. I implemented a Zero-Copy architecture to streamline this. By leveraging Delta S...

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  • 1801 Views
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Hubert-Dudek
by Databricks MVP
  • 720 Views
  • 0 replies
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Runtime 18 / Spark 4.1 improvements

Runtime 18 / Spark 4.1 brings Literal string coalescing everywhere, thanks to what you can make your code more readable. Useful, for example, for table comments #databricks Latest updates: read: https://databrickster.medium.com/databricks-news-week-1...

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  • 720 Views
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Hubert-Dudek
by Databricks MVP
  • 751 Views
  • 0 replies
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Secrets in UC

We can see new grant types in Unity Catalog. It seems that secrets are coming to UC, and I especially love the "Reference Secret" grant. #databricks Read more:- https://databrickster.medium.com/databricks-news-week-1-29-december-2025-to-4-january-202...

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  • 751 Views
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Hubert-Dudek
by Databricks MVP
  • 2207 Views
  • 0 replies
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DABS JSON Plan

DABS deployment from a JSON plan is one of my favourite new options. You can review the changes or even integrate the plan with your CI/CD process. #databricks Read more:- https://databrickster.medium.com/databricks-news-week-1-29-december-2025-to-4-...

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  • 2207 Views
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AbhaySingh
by Databricks Employee
  • 3136 Views
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The Agile Path to Autonomous Agents

I read about a team demo about their shiny new "autonomous AI agent” leadership. It queried databases, generated reports, sent Slack notifications—all hands-free. Impressive stuff. Two weeks later? $12K in API costs, staging data accidentally pushed ...

  • 3136 Views
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Hubert-Dudek
by Databricks MVP
  • 530 Views
  • 0 replies
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Ingest Everything, let's start with Excel

We can ingest Excel into Databricks, including natively from SharePoint. It was top news in December, but in fact is part of a big strategy which will allow us to ingest any format from anywhere in databricks. Foundation is already built as there is ...

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  • 530 Views
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rathorer
by Databricks Partner
  • 12591 Views
  • 1 replies
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Building MultiTenant Architecture on Databricks Platform

This use case demonstrates how a SaaS product can be deployed for multiple customers or business units, ensuring data isolation at every layer through workspace separation, fine-grained access control with Unity Catalog, and secure processing using U...

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Community Articles
Architecture
multi-tenant
Security framework
  • 12591 Views
  • 1 replies
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Latest Reply
andyssojet
New Contributor II
  • 2 kudos

Good breakdown of the Databricks storage and catalog isolation patterns.One thing to keep in mind: workspace binding and Unity Catalog handle data isolation well, but the authentication layer is where tenant context gets established first. Without pr...

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