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🚀 Apache Airflow 3.0 is now available

May 14

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This release brings powerful improvements that can reshape how teams orchestrate data workflows at scale.



 Here are some key highlights:


✅ Redesigned User Interface


 Now React-based, offering smoother navigation and improved visibility into task execution and asset tracking.


✅ DAG Version Awareness


 Each DAG run is tied to the version active at execution time, enabling more reliable audits and reproducibility.


✅ Backfill Execution Enhancements


 Now, it is handled directly by the scheduler, reprocessing historical jobs easier and more scalable via API or UI.


✅ Event-Driven Triggers


 Native support for external events (e.g. AWS SQS) introduces reactive orchestration possibilities.


✅ Task Execution Interface


 Separates orchestration from execution — enabling hybrid, multi-cloud and polyglot (Python-first) environments.


✅ Security Enhancements


 Improved task isolation and infrastructure flexibility support stricter compliance and shared environments.


⚠️ Migration Considerations


 This is a significant upgrade. Expect to validate DAGs, plugins, and adapt custom code to fit new interfaces.



Airflow 3.0 marks a step forward for teams investing in robust, scalable, event-driven orchestration.



#ApacheAirflow hashtag#DataEngineering hashtag#Orchestration hashtag#ExpertCorner hashtag#Datavexa

May 14

1 min read

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