At least 9 date formats in one column… Here’s how I tamed them with SQL
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A practical walkthrough of standardizing 9+ different date formats found in a single SQL column. The approach covers detecting format patterns with REGEXP_LIKE, isolating unknown formats, breaking dates into components with REGEXP_SUBSTR, rebuilding them into a consistent YYYY-MM-DD format using CASE statements, and validating
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The need that changed everythingHow I tamed all those 9+ date formats with SQLGet Luchiana Dumitrescu ’s stories in your inboxThe final word: Dates, tamed at last 🏆Sort: