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Category: Microsoft Fabric

Microsoft Fabric Service Principal API Settings

Nicky van Vroenhoven has a public service announcement:

Microsoft Fabric is changing how service principal access to public APIs is controlled. The existing all-or-nothing tenant setting was split into two separate settings — giving us admins more granular control, but also introducing a change you might need to act on after August 1, 2025.

Click through to see how you might have been able to learn this, as well as the consequences of this change.

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Community Resources for Power BI and Microsoft Fabric

Chris Webb highlights some community efforts:

There are a lot of really cool free, community-developed tools and resources out there for Power BI and Fabric – so many that it’s easy to miss announcements about them. In this post I thought I’d highlight a few that came out recently and which you might want to check out.

Click through for several good resources, and there are a couple of additional ones in the comments as well.

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Item History in the Microsoft Fabric Capacity Metrics App

Ope Aladekomo announces a new feature:

We’re thrilled to announce the Preview of the Item History page in the latest version of the Microsoft Fabric Capacity Metrics App. The Item History page provides a 30-day compute usage analysis through dynamic visuals and slicers, enabling users to explore both high-level consumption trends and granular item-level metrics. This page helps you understand how individual items and operations contribute to overall capacity usage.

Click through to see a picture of the page, as well as some of the information you can glean from it.

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Scheduling Copy Jobs in Microsoft Fabric

Ye Xu can run more than once:

Copy Job is the go-to solution in Microsoft Fabric Data Factory for simplified data movement. With native support for multiple delivery styles, including bulk copy, incremental copy, and change data capture (CDC) replication, Copy job offers the flexibility to handle a wide range of scenarios—all through an intuitive, easy-to-use experience.

In this update, we’re excited to announce a powerful new enhancement: multiple scheduler support. This gives you even greater control over when your data moves.

Click through for a screenshot showing how you can set up multiple schedules for a specific copy job. Based on the screenshot, it seems that there is a limit to the number of schedules you can create, though that number (20) is large enough that I couldn’t imagine it being a major impediment for most people.

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Using the Tabular Object Model via Semantic Link Labs

Gilbert Quevauvilliers does a bit of connecting:

In this blog post I am going to show you how to use the powerful Semantic Link Labs library for Tabular Object Model (TOM) for semantic model manipulation.

The goal of this blog post is to give you an understanding of how to connect using TOM, then based on the documentation use one of the functions.

Don’t get me wrong the documentation is great, but when implementing it, it works a little differently and I want others to know how to use it, so it can automate and simplify some repetitive tasks.

Read on for the instructions and some of the things you can do with the Semantic Link Labs library in Microsoft Fabric.

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Loading Data from Network-Protected Storage Accounts into OneLake

Matt Basile grabs some data:

AzCopy is a powerful and performant tool for copying data between Azure Storage and Microsoft OneLake, and is the preferred tool for large-scale data movement due to its ease of use and built-in performance optimizations. AzCopy now supports copying data from firewall-enabled Azure Storage accounts into OneLake using trusted workspace access. Now you can use AzCopy to load data from even network-protected storage accounts, letting you effortlessly load data into OneLake without compromising on security or performance.

Click through for an explanation of trusted workspace access, followed by the steps to try it out for yourself.

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Registering Applications to Read Fabric Resources

Andy Leonard works in Microsoft Entra:

My older son, Stephen, and I have been vibe coding information-dense solutions for Fabric lately. The latest application is Fabric Navigator, which simplifies navigation between Fabric Data Factory pipelines and notebooks. While Fabric Navigator includes links to instructions about configuring Azure and Fabric security to allow read access to Fabric Data Factory pipelines and notebooks, I feel a walk-through of a minimally-viable security configuration is in order. Hence, this post.

Click through to see what setting you need to make in Entra, as well as settings you need to change in Microsoft Fabric, for this to work.

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Equalizing Proxy vs Redirect Rates for OneLake Access

Elizabeth Oldag announces a pricing change:

We’re thrilled to share a major update and simplification to OneLake’s capacity utilization model that will make it even easier to manage Fabric capacity and scale your data workloads. We are reducing the consumption rate of OneLake transactions via proxy to match the rate for transactions via redirect. This means you no longer have to worry where you are accessing your OneLake data from (via proxy or redirect), they will consume your capacity at the same low rate.

Read on to see what this means in practice.

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Customer-Managed Keys in Microsoft Fabric Workspaces

Sumiran Tandon makes an announcement:

We’re excited to share that customer-managed keys (CMK) for Microsoft Fabric workspaces are now available in public preview in all public regions! This expansion makes it easier for customers worldwide to meet compliance requirements and implement robust data protection strategies.

Note: This feature was released in public preview in a limited set of regions earlier this year and here’s the step-by-step guide for setup.

I personally tend not to be a stickler about customer-managed versus Microsoft-managed keys, as your data is encrypted either way. That said, I know that there are environments in which this matters a lot.

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Tips for Working with Real-Time Analytics in Microsoft Fabric

Reitse Eskens shares some tips:

When discussing options, possibilities, and solutions with customers, the Real-Time stack began to emerge. We received questions on ingestion that couldn’t be simply answered using batch processing. The best part is that we can start learning new technology!

The following blog will outline the best things I learned working with real-time analytics.

Click through for those items.

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