Apache Airflow is a widely-used open-source tool for automating data pipelines. Airflow is well-received by data engineers for its flexible workflow control, dependency handling, scalability, and strong community support. To leverage Airflow’s capability,  users need to understand the advanced configurations so that we can establish a smoother data pipeline workflow. 

In this article, we’ll explore tips and advanced configurations we can use to enhance the experience and effectiveness when using Apache Airflow.

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