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New: a notebook-backed SQL article shows how to use QUALIFY for deduplication, temporal pricing, preferred-store ranking, and pipeline log analysis.
analytics-engineering data-engineering data-quality databricks deduplication governance spark sql window-functions Clear
- Why QUALIFY should be your first reflex for deduplication and temporal pricing - Mar 3, 2026 • 12 min
- ANSI Mode in Spark SQL: why ansi_mode=false can hide critical errors on Databricks - Feb 17, 2026 • 2 min