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?
This exercise is part of the course
Building Data Pipelines with Airflow
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