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Microsoft Fabric: start with the use case, then choose the architecture

An integrated platform can simplify teamwork. It does not replace governance or an assessment of actual operating costs.

Bennen TechnologiesEditorial review · September 2026

What Fabric brings together

Microsoft Fabric combines data and analytics services in a SaaS platform, with OneLake as a shared logical storage foundation. Data engineering, integration, analytics and Power BI can work within the same environment. Microsoft describes this integration in its official overview.

The trade-offs still belong to you

A shared platform does not automatically resolve business definitions, permissions or source quality. Before migrating, we recommend selecting one concrete process, such as a monthly indicator used by management. Document its sources, owners and required freshness.

Then assess the complete scenario: compute, storage, transfers and operations. The OneLake consumption documentation distinguishes storage from operations that consume capacity. A low-volume demonstration is therefore insufficient to predict a production bill.

Decide using measured results

Our recommendation is to compare a pilot with the current process using the same data and criteria. Measure preparation time, result reliability, required permissions and operational effort. Keep a rollback plan. Adoption makes sense when observed benefits outweigh migration costs and new dependencies.

Sources and features may change. Check the current version when planning your project.

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