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Finding and Removing Duplicates

High Priority10 min readUpdated 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.

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