Establishing Dependencies between Multiple DAGs in Apache Airflow: Coordinating Complex Workflows

It covers a guiding light on approaches and resolutions for managing dependencies amongst multiple Directed Acyclic Graphs (DAGs) in Apache Airflow (a trending work automation tool). Cross-DAG dependencies is one of the crucial requirement for to manage the very complex workflow which can span in different processes and different systems. Through this research we implement basic operators including ExternalTaskSensor and TriggerDagRunOperator, custom solutions like using MySQL DB table to keep track of running DAGs. This study demonstrates the pros, possible bespoke solutions and implications of these solutions for optimizing workflow automation through Apache Airflow. The paper concludes by providing an analysis of how well DAG dependency management is done in Airflow and provides possible roadmap