Foundations of Fabric IQ: Semantic Data Modeling and Agents

Modern organizations struggle to bridge the gap between complex technical data structures and real-world business meaning. Fabric IQ solves this by allowing you to build a unified semantic layer that translates raw data into a clear, structured business ontology. This text-based course guides you from absolute beginner to confidently structuring business concepts, mapping them to data sources, and building semantic data agents. You will learn to establish a single source of truth that aligns technical pipelines with business terminology, enabling smarter data discovery and automated reasoning. What you'll learn: - Understand the core principles of semantic modeling and ontology design within Fabric IQ - Map and bind physical data sources to logical business entities and relationships - Create structured relationship maps to visualize how different business concepts connect - Configure intelligent data agents grounded in your custom business vocabulary - Apply modern semantic mapping and retrieval-augmented generation concepts to query data - Implement data governance best practices to keep your ontology secure and up to date. You will start with foundational definitions and key ontology concepts before moving into practical step-by-step written exercises for data binding and agent configuration. This course is designed for beginners, data analysts, and business architects looking to organize enterprise knowledge; no prior experience with ontology modeling or Fabric IQ is required. Begin your journey toward building intelligent, vocabulary-grounded data systems today.