In this webinar, we provide an overview of the major new features and significant updates included in the newly released Airflow 2.4. Working through a variety of use cases, this high-level recap addresses new data-driven scheduling capabilities that help users avoid monolithic DAGs.

The webinar focuses on a number of specific new features in Airflow 2.4, such as:

• Datasets and data-aware scheduling, which lets DAG authors create smaller and more self-contained DAGs
• Updates to dynamic task mapping
• A consolidated schedule parameter
• New operators and decorators
• And more!

All of the sample code shown in this webinar can be found in this repo.