Podcast
Fabric Unifies Data Work: One Version for Reporting, SQL and AI (Lars Andersen, Microsoft)
September 16, 2025
Just a few years ago, companies built data warehouses primarily for reporting. Today, the situation is different: data has become a strategic asset and the key to unlocking AI. “Many organizations are only beginning the journey to make their data truly AI-ready. And this is exactly where Fabric plays a crucial role,” says Lars Andersen, Senior Program Manager at Microsoft and one of Europe’s leading experts on Fabric, in the new episode of Adastra’s podcast.
Watch the interview
In the podcast, Andersen explains how Microsoft Fabric brings together analytical tools in one SaaS platform, enabling organizations to work with data for BI, SQL, and machine learning all in one place. A central element is OneLake, which allows companies to keep a single version of their data without the need for complex integrations.
He also highlights new features: real-time intelligence, enabling instant reactions instead of waiting for nightly batch loads, and data agents—tools for building intelligent agents directly on top of your own data. Security is another key theme, with unified access management directly at the OneLake level.
- What use cases are companies solving with Fabric most often?
- How can organizations start with smaller projects and scale them to an enterprise level?
- And why does Andersen believe it’s always worth building new solutions “on a blank sheet of paper”
Listen to the podcast


