72: Fabric unifies data work: one version for reporting, SQL, and AI (Lars Andersen, Microsoft)

from Data: Heaven or Hell? (Adastra Podcast) · host Adastra

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”?

Episode metadata supplied by the publisher feed · Published Sep 10, 2025

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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. He 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. 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.

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72: Fabric unifies data work: one version for reporting, SQL, and AI (Lars Andersen, Microsoft)

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