Modular Workflows with Airflow SubDAGs

As data pipelines grow in complexity, managing massive, tangled workflows becomes a major challenge for data engineers. This course provides a clear, step-by-step path to organizing your pipelines using SubDAGs and modern modular design patterns. You will learn how to break down monolithic workflows into clean, reusable, and maintainable components. Starting with foundational workflow concepts and terminology, this course guides you through structural design patterns, parameter passing, and execution mechanics. You will also explore modern alternatives like TaskGroups to ensure your pipeline architecture remains current and efficient. What you'll learn: - Understand the core concepts, benefits, and limitations of SubDAGs in workflow orchestration - Structure complex pipelines into clean, modular, and readable sub-units - Configure task execution order and manage dependencies between parent and child workflows - Apply best practices for passing parameters and sharing state across modular tasks - Implement modern TaskGroups as an alternative approach for visual grouping and performance - Debug and troubleshoot common execution issues in nested workflows This text-based course is designed for beginners who have a basic understanding of Python and want to level up their data engineering pipeline architecture. No advanced workflow orchestration experience is required. Start organizing your data pipelines today with clean, modular design principles.