Final answer:
In data processing, a validation transform checks data against rules, and if a row fails, it's typically sent to an error or rejection file for review and correction.
Step-by-step explanation:
In the context of data processing and ETL (Extract, Transform, Load) operations, a validation transform is a process where data is checked against certain rules or conditions to ensure its quality and integrity before it is loaded into a target system or database. If a row fails validation rules, for instance, it might be forwarded to an error or rejection file, where it can be reviewed and potentially corrected by data stewards or sent back to the source for re-extraction with corrections. The specific destination where failed rows are sent can vary depending on the ETL tool or software being used and the workflows designed by the ETL developer or team.