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?
Cet exercice fait partie du cours
<cours>Building Data Pipelines with Airflow</cours>Exercice interactif pratique
Transformez la théorie en action avec l’un de nos exercices interactifs
Commencer l’exercice