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. https://github.com/astronomer/2-4-example-dags