Introduction to Fabric Data Agents

In Introduction to Fabric Data Agents, Mitchell Pearson explains what data agents are and how they sit on top of your trusted Microsoft Fabric data to answer questions in natural language. You’ll see where agents fit in a modern analytics stack, common use cases (exploratory Q&A, quick summaries, guided lookups), and how grounding to governed data helps keep answers relevant and reliable. Then you’ll build one step-by-step. Mitchell walks through creating a data agent, connecting it to the right datasets, and crafting effective AI instructions that shape tone, scope, and guardrails. You’ll test with example queries to iterate on accuracy and user experience, then learn simple ways to publish and share your agent so teammates can start using it. By the end, you’ll have a clear blueprint: define purpose, build, instruct, validate with examples, and deploy.