What you'll learn

Trusted data also needs a clear response when incidents happen. In this course, Respond to Data Quality Incidents, you will gain the ability to assess suspected data quality incidents with review details, severity, and impact. First, you will explore how alerts, test results, monitoring output, generative AI summaries, metadata, lineage, and dependency details support faster triage. Next, you will discover how ownership, stakeholder communication, containment choices, repair, backfill, reprocessing, and verification restore trusted outputs. Finally, you will learn how root cause analysis, post-incident reviews, AI-assisted communication drafts, and prioritized improvements reduce future reliability risk. When you are finished with this course, you will have the skills and knowledge of responding to data quality incidents needed to protect trust and improve reliability.