Demystifying the Data Lakehouse in Microsoft Fabric

The Data Lakehouse has become one of the most talked-about architectural patterns in analytics - but what is it really, and how does Microsoft Fabric bring it to life?

This session breaks down the Lakehouse concept in clear, practical terms. We’ll explore how decoupled storage and compute work in Fabric, how Delta Lake enables reliability at scale, and how the medallion architecture shapes ingestion, transformation, and modeling best practices. You’ll learn when to use SQL, when to use Spark, and why the Lakehouse approach is so powerful for modern BI and data engineering teams.

If you want a solid understanding of how to design and deliver Lakehouse solutions on Fabric - this session demystifies it all.

Understand the core principles of the Lakehouse architecture Learn how Fabric implements storage/compute decoupling See how Delta Lake enables reliability and ACID guarantees Know when to use SQL or Spark for different tasks Build a clear mental model of the Fabric medallion architecture