Technologies/DataHub/ingestion_warning
DataHubDataHubMetric

ingestion_warning

Number of warnings during ingestion
Dimensions:None
Available on:Native (1)
Interface Metrics (1)
Native
Number of warnings during ingestion
Dimensions:None
Related Insights (2)
Ingestion Pipeline Failure Silent Data Quality Gapscritical

DataHub ingestion jobs failing silently or with warnings, causing metadata gaps that prevent data quality monitoring, lineage tracking, and incident detection from functioning properly.

Data Quality Incident Detection Blind Spotwarning

Organizations experiencing data quality incidents (bad data reaching dashboards, ML models) that DataHub's observability should catch, but failures occur because assertions are not configured or monitored on critical datasets.