Design Patterns for Large-Scale Data Processing Based on Data Workflow Management with Toss Developers

Learn how to build data pipelines with Apache Airflow, from the basics to real-world applications. Understand Airflow’s core concepts and architecture, and practice advanced design patterns frequently used in the field, including dynamic DAGs, parallel processing, distributed processing, and Custom Operators. Set up a hands-on environment with Python and Docker, design and operate real-world workflows, and develop practical skills for production use.