What is error handling during extraction?

< 1 min read

Error handling during extraction means managing data or connection failures without breaking the refresh.
In my project, API sometimes returned null fields or invalid records.
We used Power Query “try…otherwise” to replace errors with default values.
Rows with corrupted data were filtered and logged separately.
Retry logic handled temporary network or API failures.
Credential and timeout errors triggered alert notifications to the team.
Data type conversion errors were fixed using conditional transformations.
This prevented full dataset refresh failure due to few bad records.
We maintained error report table for investigation.
So it ensures stable refresh and reliable reporting despite source issues.

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