Explore how new features in Airflow 3.0, including DAG versioning and backfills, can improve your productivity and help you manage your pipelines more efficiently. Whether you are an experienced Airflow user or just getting started, you’ll learn how to quickly troubleshoot and manage your pipeline history.
Learn how Airflow 3.0 is expanding on assets, the foundational datasets feature, by introducing asset watchers, the most powerful option for event-driven scheduling in Airflow to date
Improve your data quality with Airflow! This webinar shows how to use the Great Expectations operator for robust data quality checks in your pipelines.
In this webinar, we’ll cover best practices for implementing important open-source features and frameworks that will simplify the DAG-authoring process.
In this “Live with Astronomer” session, we’ll walk through one of those contributions – new Airflow Templates VS Code extension, which includes code completion for all Airflow Provider operators.
With more than 30,000 downloads per month, the Fivetran provider for Airflow is incredibly popular. Using Fivetran and Airflow together gives users the benefits of first-class orchestration, pipelines as code, and automated ELT processes.
We'll dive into how to use the open-source Astro CLI to effectively manage your Airflow project code so you can share code with your team, test DAGs before you deploy them, keep your code organized for easy reviews, and more.
Get started learning the fundamentals of Apache Airflow® and its key functionalities. Get tips on how to programmatically author, schedule, and monitor data pipelines.