What you'll learn

Trusted data needs monitoring that shows when production behavior changes. In this course, Monitor Data Health with Data Observability, you will gain the ability to evaluate the health of critical data assets using practical production signals. First, you will explore how freshness, volume, schema, distribution, pipeline execution, dependencies, and downstream availability reveal unexpected behavior. Next, you will discover how monitoring practices, thresholds, dynamic baselines, anomaly detection, alert severity, routing, ownership, and context support triage. Finally, you will learn how dashboards, lineage, scorecards, monitor inventories, alert history, and coverage reviews help reduce missed incidents and alert fatigue. When you are finished with this course, you will have the skills and knowledge of monitoring data health needed to make production data issues visible and actionable.