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Move to Fabric

Power BI migration to Fabric without broken reports

Power BI migration to Fabric means moving workspaces, semantic models and data preparation onto Microsoft Fabric capacity, where reporting and data engineering share one platform. Existing reports keep working, but capacity, storage and refresh design all deserve a fresh look. One of our consultants plans the order of the move, tests each workspace and explains which new features are worth using now.

  • Capacity plan first
  • Workspaces moved in stages
  • Reports tested after each move

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What does a Power BI migration to Fabric change?

Fabric is not a replacement for your reports. Power BI sits inside Fabric as one of its workloads, next to data engineering, data warehousing and real-time analytics. So the reports, models and apps you have today stay familiar.

What changes is the ground beneath them. A workspace on Fabric capacity can hold lakehouses, warehouses, pipelines and notebooks as well as reports. All of them store data in OneLake, a single storage layer for the tenant.

Because of that, a team can prepare data once and reuse it everywhere. For example, a lakehouse table can feed a semantic model through Direct Lake mode, which reads the stored files without a separate import copy. However, that design only pays off when the source tables are clean and well shaped. For example, a Power BI sustainability dashboard fed by meter data can gain from a lakehouse.

Rolls of colored fabric stacked in a shop, illustrating Power BI Migration to Fabric

Areas we plan before the move starts

Each area carries its own risk, so each gets a line in the written quote.

Capacity sizing

We look at current usage and peak hours, then suggest a capacity size to start on. You can change it later as real load appears.

Workspace inventory

Every workspace gets a label: move now, move later or retire. As a result, the first wave stays small and safe.

License review

Reader and author licenses work differently across capacity sizes. We explain the rules and point to Microsoft's current documentation.

Data preparation

Older dataflows and scheduled imports may suit a lakehouse better. We decide case by case instead of rebuilding everything.

Security model

Workspace roles, row-level rules and item permissions need a check, because new item types bring new ways to reach data.

Cost monitoring

We set up the capacity metrics app, so your administrators can see which items consume the most and act early.

Why are teams moving Power BI to Fabric capacity now?

Microsoft has been steering customers on older Premium capacity toward Fabric capacity. The dates and terms depend on your agreement, so we always check the current Microsoft guidance with you. Still, many teams prefer to plan the change calmly instead of waiting for a deadline.

There is also a practical gain. Companies often run one tool to load data, another to store it and a third to report on it. Fabric brings those jobs together, and therefore fewer handoffs can fail overnight.

But not every team needs the new workloads. If your reports run well on shared capacity with Pro licenses, staying put can be the right call. We say so when that is the case. If you are still weighing the platforms, our Power BI vs Fabric comparison helps. For a wider data platform plan, see Microsoft Fabric consulting.

When a Power BI migration to Fabric is worth planning

These situations usually justify a proper plan instead of an ad hoc move.

  • A Premium capacity renewal is coming up
  • Imports take too long on large tables
  • Several tools prepare the same data
  • A data warehouse project is about to start
  • Refresh windows collide during the night
  • Leaders want one platform for analytics

How our Power BI migration to Fabric runs

We move in four stages and test at the end of each one.

  1. Assess the estate

    First we list capacities, workspaces, models and refresh schedules. Then we flag features that behave differently on Fabric.

  2. Pilot one workspace

    A low-risk workspace moves first. Because real users test it, problems surface before the important content follows.

  3. Move in waves

    After that, workspaces move in agreed groups. Each wave ends with a check of refresh, access and report speed.

  4. Adopt new features

    Finally, we pick one or two Fabric features that solve a real problem for you, and we coach your team to run them.

Questions teams ask before moving Power BI to Fabric

Do existing Power BI reports need a rebuild for Fabric?

Usually not. When a workspace moves to Fabric capacity, its reports, models and apps come with it and keep their links. However, a few settings and features behave differently between capacity types. So we test refresh, access and performance after each move, and we fix what differs before users notice.

Is Direct Lake mode always better than import?

No. Direct Lake suits large tables that already sit in a lakehouse in good shape. Import mode, however, still works well for small and medium models, and it supports some features that Direct Lake handles differently. We therefore compare both on your own data and recommend the simpler option when results are close.

Can a Power BI move to Fabric happen in stages?

Yes, and we advise it. Each workspace links to a capacity on its own, so one can move while others stay. As a result, a pilot group can work on Fabric for a while before the rest follow. That staged approach also spreads the testing effort across several calm weeks.

Do you sell Fabric capacity or Power BI licenses?

No. We do not resell capacity or licenses, so our sizing advice has no sales motive behind it. You buy directly from Microsoft or through your current reseller. We explain the options in plain terms, since the rules change over time, and we link each point to the relevant Microsoft documentation.

Who carries out the work, and where?

Our consultants do the work remotely, inside your own Microsoft tenant, with your administrators involved at each step. Power BI Agency is a small team and a division of Sataware Technologies, independent of Microsoft. You see progress at a weekly demo, and a written quote fixes the scope before anything starts.

Further reading from Microsoft Learn

Let's build your first dashboard together.

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Why teams pick us

Power BIDashboards, models, reports
Microsoft FabricModernization and migration
Azure SQLDataflows and pipelines
Row-level securityEach user sees only their data
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One teamFrom first call to handover
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