Astronomer’s Ultimate Guide to Apache Airflow® DAGs offers data engineers in-depth knowledge of DAG concepts, building blocks, and best practices. Updated for Airflow 2.10, it covers DAG creation, operators, sensors, decorators, hooks, and deferrable operators. The guide explains managing Airflow connections securely, writing efficient DAGs with task dependencies, branching, task groups, and XCom usage. It also details scheduling mechanisms and DAG-level parameters, empowering engineers to design robust, maintainable workflows that maximize Airflow’s orchestration capabilities for reliable data pipelines and automation.

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