72: Fabric unifies data work: one version for reporting, SQL, and AI (Lars Andersen, Microsoft)
Update: 2025-09-10
Description
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.
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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