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
In this webinar, you'll learn how to easily and effectively debug your DAGs when an error inevitably occurs, and implement testing so issues don’t make it to production.
In this webinar, we’ll give an overview of data observability for Airflow, including topics like tracking data lineage, monitoring data quality, and insights into the performance of your data operations.
In this webinar, we’ll cover DAG writing best practices applicable to ETL and ELT pipelines, including things like how to approach building ETL and ELT pipelines from scratch.
In this webinar, we’ll discuss Cosmos and Astro features in depth, including native support for installing and running dbt in a virtual environment to avoid dependency conflicts with Airflow.
We’ll cover how we think about data products at Astronomer and highlight best practices learned from the most critical data product applications we’ve seen.