Data Quality Is a Pipeline Problem, Not a Dashboard Problem
Read OriginalThe article contends that fixing data quality issues in dashboards is reactive and ineffective. It advocates for enforcing quality checks within the data pipeline at ingestion, using six key dimensions (completeness, accuracy, etc.). It details strategies like validation stages and quarantine tables to proactively ensure reliable data for all downstream consumers.
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