Best Practices for Writing DAGs in Airflow 2
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Because Airflow is 100% code, knowing the basics of Python is all it takes to get started writing DAGs. However, writing DAGs that are efficient, secure, and scalable requires some Airflow-specific finesse. In this webinar, you’ll learn the best practices for writing DAGs that will ensure you get the most out of Airflow. We’ll include a reference repo with DAGs you can run yourself with the Astro CLI.
- High Level Best Practices When Writing DAGs
- DAG Design Concepts
- Using Airflow as an Orchestrator
- Best Practices with New Airflow 2.0+ Features
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