Semantic Link – MetaData Extractor
📘 Notebook Description
The notebook is designed to extract, enrich, and visualize semantic model metadata and measure-level dependencies within Microsoft Fabric. It connects to a specified semantic model, retrieves tables, columns, measures, and relationships, and enhances measures with AI-generated business descriptions. The notebook then derives measure-to-measure dependencies from DAX expressions, builds a Directed Acyclic Graph (DAG), and presents both tabular lineage outputs and graph-based visualizations. This enables a deep understanding of how calculations are structured and interrelated within the semantic model.
🌟 Benefits
Measure Lineage Transparency: Provides clear visibility into how measures are built on top of one another, improving model understanding and governance.
AI-Powered Documentation: Automatically generates business-friendly descriptions for DAX measures, reducing manual documentation effort.
Impact Analysis: Identifies upstream and downstream dependencies between measures, helping assess the impact of logic changes