Airflow in Action: ETL Insights from Bloomberg — Slashing Runtimes by 50%
Blog post from Astronomer
Bloomberg, a leading financial data provider, transitioned from manual processes to an automated data orchestration framework using Apache Airflow to handle its mortgage ETL pipeline. The previous workflow was labor-intensive, complex, and inefficient, with high risks of failure and limited observability. By adopting Apache Airflow, Bloomberg achieved a 51% reduction in run time, eliminated key person risk, and improved workflow monitoring. The event-driven ETL pipeline now comprises over 100 tasks, using various Airflow operators and custom implementations.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Data Pipeline | 15 | 462 | 169 | 63 | -36% |
| Observability | 1 | 1,473 | 288 | 90 | -20% |
| Real-time | 1 | 3,107 | 740 | 193 | -25% |
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