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Webinar · Data & AI

Microsoft Fabric unveiled: insights from industry experts and Microsoft specialists

How Microsoft Fabric reshapes your data estate, and what it takes to adopt it well.

With Wouter Baetens (Microsoft), Koen Verbeeck and Jeroen Ruytings (AE) · Dutch spoken

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Webinar

Microsoft Fabric in practice

One hour with Microsoft and AE · Dutch spoken

Microsoft Fabric is redefining data and analytics in the AI era. In this recording, specialists from Microsoft and AE walk through what the platform makes possible, how it streamlines your workflows, and which architectural choices genuinely move your data management forward.

You get a concrete picture of how to get started with Fabric, which best practices speed up adoption, and how other organisations are putting it to work today.

Topics covered

  • Is Fabric ready for production use?
  • How does Fabric compare to other products like Databricks?
  • What is the current situation with Power BI licences and Fabric?
  • How do you ensure proper data governance on top of Fabric?
  • Real-world insights from both Microsoft and AE customers

Is Microsoft Fabric ready for production use? Specialists from Microsoft and AE share what they see in real projects.

What you will take away

A practical view on Microsoft Fabric: where to start, how to drive adoption, and which architecture keeps your data platform scalable.

What the platform makes possible

See how Fabric brings data engineering, analytics and AI together, and where it simplifies the workflows you run today.

How to get started and drive adoption

Practical first steps and the best practices that help teams adopt Fabric without stalling halfway.

Architecture that scales

Proven architectural strategies for your data management, illustrated with examples from organisations in the market.

Introducing your hosts

Wouter Baetens

Wouter Baetens

Cloud & AI Solution Specialist, Microsoft
Koen Verbeeck

Koen Verbeeck

Senior Consultant, AE
Jeroen Ruytings

Jeroen Ruytings

Data Platforms Lead, AE

On demand

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