The implementation of metadata-driven frameworks to streamline data across the Medallion Architecture within Microsoft Fabric offers significant potential for scalability. However, this very scalability introduces a critical operational challenge: as projects grow in size and complexity, it becomes increasingly difficult to effectively monitor the reliability, timeliness, and trustworthiness of the vast amounts of data being processed. This inevitable consequence raises pressing questions: How do we maintain visibility into the health of our ETL processes across the Bronze, Silver, and Gold layers? More importantly, how can business users confidently validate if the data they rely on for critical decisions is up-to-date, or if a crucial pipeline step has failed?

This session addresses these challenges, providing a practical guide to implementing a comprehensive technical logging and monitoring framework within a meta-driven Medallion Architecture in Microsoft Fabric. We will move beyond basic pipeline run statuses and explore patterns for capturing detailed operational metadata such as execution times, record counts, error specifics, and data lineage hints.

Furthermore, we will demonstrate how to leverage Fabric’s capabilities to transform the raw log data into actionable intelligence through intuitive dashboards and automated alerts. This approach equips data engineers with the necessary insights for troubleshooting and optimization, while simultaneously offering business users the transparency needed to verify data timeliness and reliability.