Bulletproof Your Dataflows: Error Handling and Data Quality in Fabric

Modern data solutions depend on reliable pipelines, yet error handling and data quality checks are often overlooked until failures occur in production. This session dives deep into building resilient Dataflows Gen2 solutions leveraging try/otherwise, structured error outputs, custom error messages, and partial failure patterns, centralizing error logs in dedicated tables for downstream monitoring.

Practical techniques to implement robust error handling and data quality checks in Dataflows Gen2. Patterns for partial failures, structured error outputs, and custom notifications to prevent pipeline breakdowns. Methods to centralize error logging for effective monitoring and faster troubleshooting.