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Category: Microsoft Fabric

Choosing a Fabric Rollout Strategy

Paul Turley makes a recommendation:

Pilot versus enterprise-wide is the wrong debate. The real question is which one your organization is actually ready for.

Start narrow, then earn scale.

Microsoft’s capacity planning guidance recommends beginning with a proof-of-concept phase on a free 60-day trial capacity, a single use case, a small user group, and an isolated workspace so nothing touches production. You’re testing the concept, not committing the whole company. That isolation matters as much as the scope — keeping the proof-of-concept out of production workspaces means a bad assumption costs you a workspace, not a week of executive reporting.

Read on for a few more tips along these lines.

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Working with Deployment Plans in Microsoft Fabric

Kevin Chant digs into a new announcement:

To clarify, deployment plans are a new type of Microsoft Fabric item that lets you control deployment order and automate actions as part of the deployment. For example, you can define a plan that first creates a Lakehouse and then runs a notebook afterwards to insert it with data.

Deployment plans are not another deployment option. Instead, they enrich the deployment options that are already available. At this moment in time they work with Git integration, Deployment Pipelines and supported REST APIs.

Read on to learn more about these.

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A Recap of FabCon Barcelona

Eugene Meidinger covers the news:

There were many announcements last week at FabCon Barcelona. Overall, there was one clear theme: semantic models are as important as ever and have more use cases than ever before.

  • You can do more with Fabric Apps soon. They will be included with Pro and PPU licenses, along with Fabric SQL DBs (up to 1 GB).
  • Microsoft has officially committed to the Apache Ossie format as a vendor-neutral way of defining semantic models. A very early two-way converter is up on GitHub.
  • Semantic meaning will be able to live in your Fabric lakehouse with semantic views. This will make it easier to define business meaning closer to the data.
  • Fabric ontologies can now use DAX measures as explicit metrics and can be created from multiple semantic models.

Additionally, Microsoft has shown a clear and continued commitment to supporting AI agents for Power BI report development, Fabric App development, and semantic modeling. Expect this to continue into the future.

Click through for a dive into some of these topics.

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Major Announcements from FabCon Europe 2026

Meagan Longoria has a list:

Policies were much needed. Until now, many Fabric capabilities were controlled by tenant switches that enable a feature for everyone or restrict it for everyone. Nothing was this fine-grained, which created blind spots and admin headaches. Fabric Policies let admins define who can perform an action, what the rule covers, and where it applies. If no rule matches, the action is denied.

The first three policy types are:

  • Item creation (capacity scope): controls who can create specific item types in workspaces on a capacity.
  • Edit workspace settings (tenant scope): controls who can change security-sensitive workspace settings, such as network security and customer-managed keys.
  • External data sharing (tenant scope): controls who can share data externally, from which workspaces, for which sensitivity labels, and to which recipient domains.

Policies are stored in Policy Set items and managed in the Policies Center in the OneLake catalog. They support public APIs and Git integration, and policy changes are recorded in the Microsoft 365 audit log.

Click through for all ten.

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Fabric Tenant Settings to Check at Launch

Paul Turley continues a series on Microsoft Fabric:

Article 3 covered the headline settings almost every tenant touches first, but the full tenant settings screen runs past 30 categories, from information protection to advanced networking. You won’t master all of it on day one, but knowing what’s there keeps you from being caught flat-footed later. Skim the full list once, even if you’re not ready to configure most of it, just so nothing surprises you when a business unit asks for a capability you didn’t know existed.

Click through for six tips.

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A First Look at Microsoft Fabric On-Demand Capacity

Reitse Eskens gives it a try:

You can compare it to Serverless SQL databases: when it’s not in use, it won’t cost anything. Storage will always incur some cost, but no compute.
First, be aware that there are no reservations (reserve plans soon) available. Second, pricing to use items will differ from the regular capacities. Some items may have the same price; others will be calculated at x2 or x3. We have to wait for the official documentation to find out what the actual prices will be.

Right now, we don’t know what the cost will look like, though once the documentation is available, we should have a better idea. Assuming it’s not in some inscrutable units.

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Flat File Ingestion Options with Microsoft Fabric

Andy Brownsword loads some data:

For this example I’ll use NHS monthly prescribing data which provides us with a large CSV, and we’ll copy it into a Lakehouse. For the Bronze layer we want to retain data as close to source as possible, so simply retrieving the file and retaining the CSV is the goal.

I’ll compare the options for this specific use case, with multiple runs for each. So, let’s see how the options stack up.

Click through to see how long each of the four options takes and what Andy recommends.

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Ten Decisions to Make Prior to Creating a Fabric Workspace

Meagan Longoria has a list:

Creating a Fabric workspace takes about 30 seconds. Restructuring workspaces after people have built content in them takes a lot longer. Moving content to another workspace usually means redeploying or recreating it, and anything bound to the old item IDs has to be rebound: reports connected to a semantic model, a notebook’s default lakehouse, pipeline activities, and shortcuts. Item-level shares, app content, and links people saved don’t carry over either.

Most of that rework is avoidable if you make a handful of design decisions before anyone starts building. None of these decisions has a single right answer. The right choice depends on your organization’s size, skills, security requirements, and how much self-service you want to support. But I’d much rather see them made deliberately, before the first workspace exists, than left at the defaults and discovered later. For each decision, I’ll cover the options, what should drive the choice, and the platform constraints that narrow it down.

Read on for that list.

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Extracting Lineage Information from Microsoft Fabric Spark Notebooks

Gerhard Brueckl retrieves some information:

When building data platforms and data pipelines to populate them, one of the most challenging parts is orchestration. You need to figure out dependencies between your pipelines and activities, know the run times/duration and make sure to run them only when all upstream pipelines succeeded. From a technical point of view, this can be easily accomplished within Microsoft Fabric using runMultiple(). (I really dont know why Databricks doesn’t offer something similar out of the box?!?)

Now the next question that comes up is: “Where do I get those dependencies from?” – and this is exactly what this blog post is about!

Click through to learn how.

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Users, Licenses, and Guest Access in Microsoft Fabric

Paul Turley manages a tenant:

Fabric doesn’t have its own separate licensing screen — you assign every license, Fabric included, from the Microsoft 365 admin center, the same place you’d manage Exchange or Teams. Easy to miss if you came into this world through the Fabric admin portal. Save yourself a search: bookmark the Microsoft 365 admin center alongside the Fabric admin portal, since you’ll need both within your first week.

Click through for some more tips and tricks around user management in Microsoft Fabric.

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