What is logging and monitoring in extraction pipelines?

< 1 min read

Logging and monitoring track data refresh activities and identify failures quickly.
In Power BI Service, we checked refresh history for each dataset daily.
Gateway logs helped diagnose connectivity and timeout issues.
We configured email alerts when refresh failed or duration exceeded threshold.
In one case, schema change was detected from refresh error logs immediately.
API extraction stored error responses in a separate audit table.
We also tracked row counts to ensure data completeness after load.
Performance metrics helped identify slow queries over time.
This allowed proactive fixes before business users noticed issues.
Overall ensures reliability and accountability of the data pipeline.

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