Introducing Apache Airflow 2.9
- Kenten Danas Manager,
Developer Relations
The Airflow 2.9 release brings significant enhancements to user-favorite features like data-aware scheduling, dynamic task mapping, and object storage.
The Airflow 2.9 release brings significant enhancements to user-favorite features like data-aware scheduling, dynamic task mapping, and object storage.
An introduction to testing strategies, best practices, and implementation techniques.
Our beta cohort of 10 is now joined by 23 hand-selected individuals who, we believe, truly embody what it means to champion the Apache Airflow Project.
Data-dependent scheduling, dynamic task mapping, and UI improvements were standout updates in Airflow's busy year.
Astronomer is giving away five full scholarships to CoRise’s new Airflow and data orchestration course.
Pushing Airflow DAGs to Astro separate from the rest of your environment files means faster deploys, no downtime for your Deployment, and a CI/CD process that best fits your team.
Updates to the Astro and Airflow CLIs make DAG authoring easier and help DAGs run more reliably.
See how recent UI updates make Airflow more connected, useable, and observable.
The Astro Cloud IDE is a notebook-inspired tool for writing data pipelines — no Airflow knowledge required.
Airflow’s third significant release of 2022 introduces a redesigned DAG test feature, task annotations, data-dependent scheduling enhancements, and more.
The needs of the data team have evolved since Apache Airflow was open-sourced by Airbnb in 2015, pushing Airflow itself to evolve. We’re excited about how far we’ve come, and have some big ideas about where Airflow and orchestration can go.
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