Get started with Fabric IQ
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Fabric IQ lets you define business vocabulary in an ontology and bind it to data sources in OneLake. In this learning path, you start with the fundamentals of Fabric IQ, then build an ontology by creating entity types and relationships, visualize your data through interactive graphs, and connect an ontology to a data agent so business users can ask questions in natural language.
Prerequisites
- Familiarity with Microsoft Fabric workspaces and navigation
- Basic understanding of data concepts such as tables, relationships, and queries
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Modules in this learning path
Microsoft Fabric IQ provides a way to define business vocabulary in an ontology and bind the ontology to data sources. Learn about ontology items, data agents, Graph in Microsoft Fabric, and Power BI semantic models. Discover how ontology modeling differs from traditional analytical modeling by starting with business concepts rather than specific use cases.
Ontologies in Fabric IQ transform your data into a business vocabulary that everyone can understand. In this module, you'll learn two ways to create ontologies - building manually to understand the core components, or generating automatically from Power BI semantic models to accelerate development. You'll practice both approaches and learn how to connect your ontology to data sources in OneLake, including lakehouse tables and eventhouse streams.
Explore entity instances, visualize business concept connections in the relationship graph, and filter across multiple data sources using the Query builder in Microsoft Fabric IQ—without writing SQL joins.
Create a Fabric data agent that uses a Microsoft Fabric IQ ontology as its data source. Configure agent instructions to improve query accuracy, test natural language questions, and publish the agent so business users can get governed data answers without writing code.