ingestion_warning
Number of warnings during ingestionDimensions:None
Available on:Native (1)
Interface Metrics (1)
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.
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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.
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