Lakehouse, pipelines, and Power BI together on Microsoft Fabric: sized for your business and adopted one proven workload at a time.
Microsoft Fabric brings the tools that used to live in separate products, data pipelines, a data lake, warehousing, and Power BI, into one SaaS platform with one copy of your data in OneLake. For a mid-sized business, that means less integration plumbing, less duplicated data, and reports that read directly from the lake instead of waiting for overnight refreshes.
The catch: Fabric is easy to oversize and easy to under-govern. Our job is to give you the version of Fabric that fits your business, not the biggest one Microsoft will sell you.
An honest assessment of whether Fabric fits your needs, and at what size. Workload modelling, capacity SKU selection, and a cost picture you can take to the board.
OneLake structure, medallion architecture, and automated pipelines and notebooks that turn scattered source systems into one clean, governed foundation for reporting.
Semantic models built on the lakehouse, Direct Lake where it makes sense, and migration of existing reports so they get faster, not just relocated. This is where our Power BI depth pays off.
Workspace structure, security, and naming standards set up properly from day one, with skills transfer so your team can run the platform without calling us for every change.
Most Fabric projects exist to serve one goal: better, faster, more trusted reporting. That is our home ground. We build the platform from the dashboard backwards, so every pipeline and lakehouse table exists because a report needs it, and nothing is built for its own sake.
Not always, and we will tell you honestly if you don't. Fabric makes sense when reporting outgrows standalone Power BI: many sources to combine, large or slow datasets, or manual data preparation you want automated. If your current setup serves you well, we won't push a migration.
Fabric is billed through capacity SKUs (F2 and up), so cost depends on workload size and usage. Part of our engagement is right-sizing: starting on the smallest capacity that fits and scaling deliberately, rather than paying for headroom you don't use.
Yes, and you should. Most clients start with one workload, typically the data behind an important report, moved into a lakehouse with an automated pipeline. The platform then grows one proven use case at a time, and existing reports keep working throughout.
A focused first workload, from workshop to a working lakehouse feeding a production Power BI report, is typically measured in weeks, not months. Full rollouts depend on the number of sources, which we scope honestly in the first call.
Book a free 30-minute call. We'll give you a straight answer on whether Fabric fits, what size, and where to start.
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