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Category: Microsoft Fabric

Copy Job in Fabric Data Factory Pipelines now GA

Published 2025-11-25 by Kevin Feasel

Jianlei Shen makes an announcement:

Copy Job Activity allows you to run Copy jobs as native activities inside Data Factory pipelines.

Copy jobs are created and managed independently in Data Factory for quick data movement between supported sources and destinations. With Copy job Activity, that same fast, lightweight experience is now embedded within pipelines, making it easier to automate, schedule, and chain Copy jobs as part of broader data workflows.

Read on for an overview of what’s in the activity and a few links on how to get started with it.

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Data Visualization and Microsoft Fabric Notebooks

Published 2025-11-24 by Kevin Feasel

Meagan Longoria thinks about notebooks:

Lots of people have created Power BI reports, using interactive data visualizations to explore and communicate data. When Power BI was first created, it was used in situations that weren’t ideal because that was all we had as far as cloud-based tools in the Microsoft data stack. Now, in addition to interactive reports, we have paginated reports and notebooks. In this post, I’ll discuss when notebooks might be an appropriate visualization tool.

Click through for Meagan’s thoughts.

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Power BI Projects and PBIR Format Admin Settings

Published 2025-11-21 by Kevin Feasel

Koen Verbeeck notes a new default:

The Power BI Enhanced Report Format (PBIR) will soon become the default, and that’s a good thing because it significantly makes git integration easier. You can already enable it in the preview features of Power BI Desktop (also enable PBIP and TMDL to make git integration of the model itself much easier).

Read on to see the administrative setting associated with this, as well as reasons why you should keep it on.

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Eventhouse Endpoint for Fabric Data Warehouse

Published 2025-11-21 by Kevin Feasel

Tzvia Gitlin Troyna announces a new feature:

The new Eventhouse Endpoint for Fabric Data Warehouse extends this same architecture to structured data sources, allowing users to:

  • Query Fabric Data Warehouse tables in real-time using KQL.
  • Leverage schema mirroring for warehouse tables.
  • Unify analytics across Lakehouse and Fabric Data Warehouse without duplicating data.

Even if I don’t expect many data platform practitioners to use KQL and even though I’m morally opposed to the Fabric Data Warehouse (short version: Lakehouses and Warehouses in Fabric should be the same thing, not two separate things), I’d still consider this a step forward. It does provide a new integration point between two services that have been annoyingly isolated.

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Database and Fabric Ignite Roundup

Published 2025-11-20 by Kevin Feasel

Victoria Holt lays out the news:

Real-Time Analytics with Synapse Real-Time Intelligence

  • The new Synapse Real-Time Intelligence in Fabric allows streaming data from operational databases to be analyzed instantly.
  • This supports use cases like fraud detection, predictive maintenance, and personalized recommendations.

Ah, thank goodness they’re re-using the name Synapse for something that has nothing to do with Azure Synapse Analytics. Makes sense when you’re running Microsoft Service Fab–, err, App Fab–, err, Fabric.

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What’s New in OneLake

Published 2025-11-20 by Kevin Feasel

Kim Manis shares an update:

In this blog post, I’ll highlight the new zero-ETL, zero-copy sources in OneLake, deeper interoperability between OneLake and Microsoft Foundry, and new tools to help admins manage capacity, security, and governance at scale. Together, these updates further cement Fabric as the ideal data platform for your mission-critical workloads—open, integrated, secure, and built to connect every part of your data estate to the intelligence your business needs. 

Read on to see some of the latest from Ignite.

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Microsoft Fabric November 2025 Feature Summary

Published 2025-11-19 by Kevin Feasel

Adam Saxton has a long list:

The November 2025 Fabric release introduces several major updates, including the general availability of SQL database, Cosmos DB, and enhanced mirroring support for key data sources such as SQL Server, Cosmos DB, and PostgreSQL.

This month also brings new AI-driven features like Copilot sidecar chat tools and real-time data exploration, as well as crucial platform enhancements such as Azure DevOps cross-tenant support, improved security permissions in OneLake, and expanded connectivity through new connectors and developer tooling. These updates are designed to empower users with greater flexibility, intelligence, and control across the Fabric platform.

When the table of contents is roughly three pages, you know it’s either Ignite or Build.

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SQL Database in Fabric now GA

Published 2025-11-19 by Kevin Feasel

Anna Hoffman and Idris Motiwala make an announcement:

SQL is everywhere and Microsoft is innovating to deliver a unified experience across on-premises, cloud, and SaaS. One SQL unifies your data estate, bringing platform consistency, performance at scale, advanced security, and AI-ready tools together in one seamless experience, and SQL database in Fabric is no exception to that. At Microsoft Ignite, we’re thrilled to announce SQL database in Microsoft Fabric is officially Generally Available!

This is definitely a fluffy post, though Anna does have some linked videos that go into more detail.

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Multiple Record Writeback for Translytical Task Flows

Published 2025-11-18 by Kevin Feasel

Jon Vöge wants to write multiple records at a time:

Having presented a few sessions on Translytical Task Flows at conferences in the past moths, there is one major recurring question:

How do you write-back multiple records at once?

If you ask me, the questions of bulk write-back/writing back multiple records at once can be understood as two separate user stories, which sound similar, but are technically different:

Click through for those two questions as well as the answer to the first.

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Thoughts on OneLake Security

Published 2025-11-14 by Kevin Feasel

Reitse Eskens troubleshoots an issue:

Today was a very interesting day at a customer’s site, where I had some trouble determining why the OneLake security wasn’t functioning as I expected. Spoiler alert: a part was me, and a part had to do with setting up my testing account.

Click through to see what happened and for two Fabric Ideas to improve how column-level and row-level security work.

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