Catching data issues with the right operator
You discover that some orders in your pipeline have negative revenue values, causing incorrect totals in the daily_summary table. You need a quality gate that catches this before the data reaches downstream consumers.
Which approach correctly catches rows with negative revenue?
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Building Data Pipelines with Airflow
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