This website places cookies on your device to give you the best user experience. By using our website, you agree to the placement of these cookies. To learn more, read our Privacy Policy.
Seeking to improve your big data pipeline? This blog walks you through enhancements made to a client's system using Airflow Datasets, DAG Dependencies, Azure Durable Functions, and edge cases. Learn how we added functionality and flexibility by streamlining data integration, minimizing cost increases, and creating a scalable pipeline development process.
As your infrastructure scales up, how you go about managing all DAGs in Airflow becomes very important. One method would be to create a “DAG factory,” which can churn out thousands of DAGs dynamically from a single configuration file.