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:
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. Most of the businesses we work with start between F2 and F8. Indicative monthly figures in Rand, rounded:
| SKU | Capacity units | Pay-as-you-go / month | 1-year reserved / month | Typical data held* | OneLake storage / month* |
|---|---|---|---|---|---|
| F2 | 2 | R5 700 | R3 100 | 1 TB | ≈ R400 |
| F4 | 4 | R11 400 | R6 300 | 2 TB | ≈ R800 |
| F8 | 8 | R22 800 | R12 600 | 4 TB | ≈ R1 600 |
| F16 | 16 | R45 700 | R25 200 | 8 TB | ≈ R3 200 |
| F32 | 32 | R91 400 | R50 300 | 12 TB | ≈ R4 900 |
| F64 | 64 | R182 700 | R100 600 | 20 TB | ≈ R8 100 |
*The two storage columns are our guideline pairings, not Microsoft’s: OneLake storage is not tied to the SKU, holds whatever you put in it, and is billed pay-as-you-go only, at R0,395 per GB per month on the standard tier. There is no reserved pricing for storage. As the table shows, storage is small change next to the capacity itself.
Also not in the capacity price:
Source: Microsoft. Pay-as-you-go figures are Azure portal estimates in Rand; reserved and storage figures are worked out from Microsoft’s published rates. All captured August 2026 and rounded to the nearest R100. Pricing is Microsoft’s, not ours, and changes with your agreement, region and the exchange rate. Confirm current figures on Microsoft’s Fabric pricing page before budgeting; we size and confirm the real number with you as part of scoping.
Yes, and you should.
Weeks, not months, for a focused first workload.
No. Power BI is part of Fabric, not replaced by it: Microsoft folded Power BI in as Fabric’s reporting layer.
They keep working. Adopting Fabric does not break or retire a single existing Power BI report.
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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