What is error handling during transformation?

< 1 min read

Error handling means identifying and managing bad data so refresh doesn’t fail.
I use Replace Errors to substitute invalid values with null or default values.
I also filter rows where mandatory fields like Date or ID are missing.
Example: Text in numeric Amount column → replaced with null and flagged.
Sometimes I create an “Error Rows” table for data quality tracking.
Type conversion errors are common when source files change format.
I avoid stopping refresh unless data integrity is critical.
For critical columns, I notify source team with sample records.
Goal is stable refresh plus visibility into data issues.

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