How We Fixed a Broken BI System With Apache Airflow
Summary
The article explains how a BI team replaced a fragile, slow ETL setup with Apache Airflow to restore trust in reporting. The new pipeline uses event-based triggers, Databricks jobs, dashboard refresh automation, and validation checks before data reaches Power BI and Tableau. After the rebuild, refresh time dropped from 24 hours to under 2 hours, manual intervention fell by 70%, and SLA compliance reached 100% for six months. The piece also highlights operational lessons such as starting small, building monitoring early, and treating DAGs like production code.
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