Ever wondered what it really takes to go from messy raw data to polished insights in Microsoft Fabric?

In this demo-heavy session, we’ll show you exactly that—live. Together, we’ll build a metadata-driven Lakehouse using an open-source accelerator designed to help data professionals deliver high-quality, reusable solutions faster.

You’ll see how a layered medallion architecture (Landing, Base, Curated) simplifies data transformation. With PySpark and Spark SQL, we’ll automate data cleaning, validation, and loading of facts and dimensions—turning what’s often a complex process into a clean and structured workflow.

This session is for Fabric users who want to:
- Accelerate their Lakehouse development with ready-to-use tools
- Understand how metadata can drive automation and consistency
- Learn practical techniques for shaping data into star schemas using Spark

You’ll leave with real code, working patterns, and a clear path to building better data pipelines in Fabric.