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Designing and Implementing Data Platforms on Microsoft Fabric

Microsoft Fabric simplifies a lot, but successful data platforms still require solid architecture and clear design choices. In this webinar, we’ll share how we design and implement Fabric platforms based on real customer projects. Download the webcast!

24 Mar 2026

2026-03-24 11:45:00

Microsoft Fabric simplifies a lot but it doesn’t remove the need for solid architecture, clear design choices and a pragmatic set up approach.

In this webcast, we’ll walk through how we design and implement data platforms on Microsoft Fabric, based on real customer projects. We’ll explain the why behind our architectural decisions, show how we structure implementations, and share the key lessons we’ve learned.

This is a practical webcast for people starting with Microsoft Fabric and for those responsible for making it work beyond the first use case.

What we’ll cover

  • How we design end-to-end Fabric architectures
    A clear view of how ingestion, transformation, storage, governance, and consumption fit together in a production ready setup.
  • Why we choose specific Fabric components
    Practical reasoning behind technology choices, including trade-offs and alternatives.
  • How we structure projects to move from first use case to platform
    How we avoid one off solutions and create a foundation that can scale.
  • Security and access control
    How we approach security in Fabric: workspace structure, role separation, access control and avoiding common pitfalls when moving to production
  • Lessons learned from  real implementations
    What we learned while setting up and running data platforms in production

Who should watch?

This webcast is aimed at professionals who are responsible for designing, building, or owning a data platform

  • Data & Enterprise Architects
  • CIOs and IT Managers
  • Data & Analytics Leads

Your hosts are Lorenz Pensaert, Data & AI Lead, and Ali Doku, Data Architect.

Download the webcast

 

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Contact Lorenz

Domain Lead Data & AI

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