EBOOK
Apache Airflow® Orchestration Paradigms
Download your copy today.
By proceeding you agree to our Privacy Policy, our Website Terms and to receive emails from Astronomer.
Apache Airflow® gives data teams the most powerful orchestration toolbox in the modern data ecosystem. This guide helps you navigate Airflow’s authoring paradigms (how you write workflows) and scheduling paradigms (when they run), so you can move beyond familiar defaults and confidently choose the right tools for every job.
You’ll learn:
- A concise framework for mapping authoring paradigms (how you write workflows) and scheduling paradigms (when they run)
- Real-world examples that compare common choices, like time-driven vs. asset-aware scheduling, and explain when and why to use each
- Scheduling decision guidance to tame complexity, reduce trial-and-error, and build pipelines with clarity and intent
- Ways of authoring Airflow Dags beyond Python, including configuration-based authoring (like DAG Factory) and declarative authoring
