Fabric Data Agents: From First Steps to Real-World Insights

Proposed session for SQLBits 2026

TL; DR

Learn how Fabric Data Agents turn trusted data in Microsoft Fabric into answers using natural language. See how those insights are consumed through Microsoft Foundry A practical, demo-driven session focused on real-world usage—not theory.

Session Details

Fabric Data Agents make it possible to ask questions of your data in plain English—but how do you move from prepared data to insights that users can actually consume?

In this demo-driven session, you’ll learn how to design and configure a Fabric Data Agent in Microsoft Fabric, starting with trusted data in OneLake and enabling natural language interaction. We’ll then show how those insights are consumed through Microsoft Foundry and visualised in Power BI, turning AI responses into real, usable business outcomes.

This session focuses on practical patterns—data preparation, security, and consumption—so you can confidently integrate Data Agents into real-world analytics and reporting workflows.

Key takeaways
• How Fabric Data Agents fit into an end-to-end Fabric architecture
• How insights are exposed via Foundry
• How to move from raw data to trusted, AI-driven answers

3 things you'll get out of this session

- Understand what Fabric Data Agents are and when to use them - Learn how insights flow from Fabric to Foundry - See a working end-to-end example you can apply in your own projects

Alpa Buddhabhatti's other proposed sessions for 2026

AI Strategy That Works: Turning Ambition into Business Impact - 2026

Build and Use AI Agents with Microsoft Foundry in 20 Minutes - 2026

Build It Right: Real-World Microsoft Fabric Pipelines with Metadata & Medallion Architecture - 2026

Building Intelligent Data Solutions with Microsoft Fabric and Microsoft Foundry - 2026

Connecting AI and Data: Microsoft Foundry + Microsoft Fabric in Action - 2026

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