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.
To operate in today’s distributed data ecosystems, you need a complete and up-to-date picture of your environment at all times. Learn how data lineage can help you make sense of your data.
Joining forces will accelerate our shared goal: To help organizations build and manage reliable data ecosystems that deliver trusted data and drive business-critical decisions.
On the heels of our Series C and our acquisition of Datakin, Joe Otto reflects on Astronomer’s history, and looks to a future powered by the combination of orchestration, lineage, and observability.
The site covered our recent acquisition of Datakin and our Series C round.
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The biggest community-driven event around Apache Airflow returns May 23–27, 2022.
Learn how Astronomer drives the Apache Airflow project together with the community.
Discover ten best practices that will help all Apache Airflow users ensure their data pipelines run smoothly and efficiently.
We talked to our Airflow experts about what data management trends to look out for in 2022.
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