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Category: Microsoft Fabric

Fabric Mirroring for Azure SQL MI Now GA

Published 2025-09-30 by Kevin Feasel

Ajay Jagannathan announces a feature has gone to general availability:

Mirroring in Fabric is a powerful feature that allows you to replicate data from various data sources such as your Azure SQL Managed Instance to Fabric’s OneLake. This ensures that your data is always up-to-date and readily available for advanced analytics, AI, and data science without the need for complex ETL processes.

Jokes about Azure SQL Managed Instance aside, it’s good that these features are becoming generally available.

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Content Discovery in Microsoft Fabric

Published 2025-09-30 by Kevin Feasel

Jon Vöge wants to find data:

So you built a nice Data Platform on Microsoft Fabric. Users are happily using a few Models and Reports, but you face two problems:

  1. Users are not aware of all the other awesome models, reports and even lakehouses that they already have access to, which they should be using.
  2. Users also don’t know anything about the models, report and lakehouses that they don’t have access to, but which could also be useful for them, if they requested access.

For my take on how best to solve this natively in Fabric, read on below.

Read on to see how you can enable content discovery.

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Viewing Security Settings in OneLake Catalog

Published 2025-09-26 by Kevin Feasel

Aaron Merrill announces a new preview feature:

Introducing the Secure tab in the OneLake catalog—your central place to understand and manage access across Fabric items. From a single view, you can workspace roles with the View users experience and inspect or modify role OneLake security roles with View security roles. The Secure tab brings a streamlined view for governance teams and workspace owners to quickly validate permissions and tighten least‑privilege access.

Click through to see how it looks.

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Announcements from FabCon Vienna

Published 2025-09-25 by Kevin Feasel

James Serra has a round-up:

A bunch of new features for Microsoft Fabric were announced at the Microsoft Fabric Community Conference (FabCon Vienna) recently. Here are all the new features that I found most interesting, with some released now and others coming soon:

Click through for approximately two dozen more announcements.

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Comparing Spark Application Performance in Microsoft Fabric

Published 2025-09-24 by Kevin Feasel

Jenny Jiang announces a new capability:

The Spark Applications Comparison feature is now in preview in Microsoft Fabric. This new capability empowers developers and data engineers to analyze, debug, and optimize Spark performance across multiple application runs—whether you’re tracking changes from code updates or data variations to improve performance.

The image in the blog post is pretty small and hard to read, but I do wonder if (or how well) it will capture cases where you’re twiddling your thumbs to get a machine so that you can execute your code. This seems to be a big problem sometimes.

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Microsoft Fabric Extension for VS Code now GA

Published 2025-09-23 by Kevin Feasel

Sunitha Muthukrishna announces an update to an extension:

Manage Fabric items programmatically: Use item definitions to unlock scripting and work with your items as files. You can update and deploy Fabric items to existing workspaces or new workspaces directly from VS Code—saving you time and effort. Fabric items, that have Item definitions API support, support this capability.

Read on to see what else made the cut.

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Tracking when Workspace Monitoring Throttles Power BI Queries

Published 2025-09-22 by Kevin Feasel

Chris Webb wants to know if Workspace Monitoring is throttling any Power BI queries in Microsoft Fabric:

A lot of new documentation was published recently around Fabric capacities, including documentation on how to size and govern capacities and how to troubleshoot problems with capacities. The latter has instructions on how to use the Capacity Metrics App to determine if your Power BI queries are being throttled; it mentions that you can also determine if queries have been throttled using Workspace Monitoring or Log Analytics but doesn’t go into details about how, something I will address in this post.

Read on to learn more.

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Microsoft Fabric September 2025 Updates

Published 2025-09-16 by Kevin Feasel

Adam Saxton has a list of updates for us:

Welcome to the Fabric September 2025 Feature Summary! This month’s update is packed with exciting enhancements, such as new certification opportunities, the Power BI DataViz World Championships at FabCon Vienna, and major advancements in the Fabric Platform. Highlights include the Parent-Child Hierarchy in the OneLake catalog, the general availability of the Govern Tab and Domains Public APIs and expanded Microsoft Purview protection and data loss prevention policies. Dive in to discover the latest improvements designed to empower your data experience.

Click through for a few dozen items.

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Finding Power BI Operations from the Capacity Metrics App

Published 2025-09-15 by Kevin Feasel

Chris Webb notes something that has come out recently:

It’s the week of Fabcon Europe and you’re about to be overwhelmed with new Fabric feature announcements. However there is a new blink-and-you’ll-miss-it feature that appeared in the latest version of the Fabric Capacity Metrics App (released on 11th September 2025, version 47) that won’t get any fanfare but which I think is incredibly useful – it allows you to link the Power BI operations (such as queries or refreshes) you see in the Capacity Metrics App back to Workspace Monitoring, Log Analytics or Profiler so you can get details such as the query text.

Click through to see how it works.

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No More Default Semantic Models in Microsoft Fabric

Published 2025-09-09 by Kevin Feasel

Nicky van Vroenhoven has good news for us:

Another quick post, because today is an important day for everyone working with Fabric and Power BI!

Last month, Microsoft announced they are Sunsetting Default Semantic Models: Yaay! 
Today marks that day: No more automatic child semantic models!

The idea of having a default semantic model seemed like a good one, but the problem was that too many environments had very specific needs that a default semantic model couldn’t anticipate or address. As a result, these tended to confuse end users more than save them time.

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