Last Updated: May 3, 2026
Duplicate rows sneak into tables through buggy ETL pipelines, retried API calls, race conditions in concurrent inserts, or simply missing unique constraints. Cleaning them up is a four-step process: detect that duplicates exist, identify which specific rows are duplicates, decide which row to keep, and remove the rest.