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What is Microsoft Fabric and what problems it solves
Business Intelligence

What is Microsoft Fabric and what problems it solves

Equipa bConcepts 12/05/2026 2 min

If you follow the data world at Microsoft, the name Microsoft Fabric is everywhere. But what exactly is it, and what problem does it solve? Rather than one more tool, Fabric proposes something different: bringing together in one place everything a data team needs.

The problem Fabric tackles

A typical data platform is a patchwork: one tool to move data, another to store it, another to analyze it, another to visualize it — each with its own bill, its own configuration and its own integrations to maintain. That fragmentation is expensive, complex and creates silos.

What is Microsoft Fabric and what problems it solves

The proposal: a unified platform

Microsoft Fabric brings the various pieces of the data cycle into a single SaaS product — ingestion, data engineering, data warehouse, data science, real-time analytics and Power BI — over common storage. The idea is to end the gluing of loose tools and work in an integrated environment.

OneLake: a single place for data

At the heart of Fabric is OneLake, a single shared storage for the whole organization — think of it as the "OneDrive for data". Instead of copying data between systems, the various tools work over the same copy, reducing duplication and keeping everything consistent.

What this changes in practice

  • Fewer integrations: the pieces already talk to each other, instead of gluing them by hand.
  • Fewer data copies: working over the same storage reduces duplication and confusion.
  • From data to dashboard in one place: engineering, analysis and Power BI together.

It is not an automatic decision

Unifying has advantages, but concentrating everything in one vendor is also a strategic choice. Fabric makes most sense for those already living in the Microsoft ecosystem and feeling the pain of fragmentation. As always, the platform serves the strategy, not the other way around.

In practice

If your data team wastes time gluing tools and moving copies back and forth, it is worth understanding what Fabric proposes. Evaluate it with a concrete case before deciding big. How much of your data team's effort is, in fact, just integrating tools that do not talk to each other?

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