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Forum Posts

suranga
by • Databricks Partner
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Genie agents and Unity Catalog wikis: what I tested, and what to use instead

I tested whether a Genie agent picks up a business rule from a Unity Catalog wiki (Beta). Short answer: not today. A Genie agent works from the data, the table and column comments, and the context you configure in the agent. Here's the test and what ...

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harissonG
Visitor
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Really useful test, especially the revenue example. It highlights an important gap between documenting business rules and making sure Genie actually follows them. I agree that metric views are a much better approach for defining reusable business log...

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juanlozadab
by • Contributor
  • 268 Views
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Resolved! Genie Ontology: Build Business Context for AI

Hi everyone!I recently published the first part of a blog series about Genie Ontology, and I wanted to share it with the community.The idea came from a project where I had to build the business context layer for Genie. While testing, I noticed that m...

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juanlozadab
Contributor
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Part 2 is now live! the second part is a practical walkthrough on how to create metric views, pages, domains, tags, etc. link: https://www.sunnydata.ai/blog/genie-ontology-practical-walkthrough-databricks

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Kirankumarbs
by • Honored Contributor
  • 4210 Views
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Resolved! How to actually get job_id and run_id in a Databricks Python wheel task (Avoid Hallucinations)

We needed job_id and run_id in a custom metrics Delta table so we could join to `system.lakeflow.job_run_timeline`. Tried four approaches before finding the one that works on serverless compute.What doesn't workspark.conf.get("spark.databricks.job.id...

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Kirankumarbs
Honored Contributor
  • 1 kudos

If some one just looking for solution, here you goJob-level parameters with dynamic value references, piped into task named_parameters:parameters: - name: job_id default: "{{job.id}}" - name: run_id default: "{{job.run_id}}" tasks: - python_wheel_ta...

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KrisJohannesen
by • Valued Contributor II
  • 1817 Views
  • 7 replies
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5 Minute Features - a new video series

I have spent the past couple of months building up a small hobby YouTube project where I run through Databricks Features in an easy to digest format.I am for a very hands-on and demo heavy approach so you can actually see what is going on, and how th...

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Adilmuradqw
New Contributor
  • 7 kudos

Great idea, Kris! Short, demo-heavy videos are the best way to learn Databricks features. Seeing the clicks is so much easier than reading the docs.A few topic ideas:Unity Catalog permissions in practice (grants, row filters, column masks)Lakeflow / ...

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Abhilash_P
by • Databricks Partner
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  • 5 replies
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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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  • 12759 Views
  • 5 replies
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Michael_Appiah
Databricks Partner
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@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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DanielMcauley
by • Databricks Employee
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Gating DEEP CLONE backups: what saved time, what didn’t, and the bug that almost slipped by

I’ve spent a good part of this year on Unity Catalog backups at scale: thousands of Delta tables, nightly DEEP CLONE into a separate backup catalog, and a backup window that kept getting longer. The obvious fix was “only clone tables that actually ch...

  • 207 Views
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