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?
Diese Übung ist Teil des Kurses
<Kurs>Building Data Pipelines with Airflow</Kurs>Interaktive praktische Übung
Verwandle Theorie mit einer unserer interaktiven Übungen in die Praxis
Übung starten