Apache Airflow is the leading open-source platform to programmatically author, schedule, and monitor data pipelines and workflows using Python. Workflows are defined as code (DAGs), making them version-controlled, testable, and reusable. With a rich UI, 100+ built-in operators, dynamic task generation, and native support for cloud providers, Airflow powers ETL/ELT, ML pipelines, and batch jobs at companies like Airbnb, Netflix, and Spotify.

Airflow Application Layout

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Hi Community,

With the General Availability of the 2025.3 release of InterSystems IRIS® data platform, InterSystems IRIS® for Health™, and HealthShare® Health Connect, we are now collecting your ideas for improvement.

If the new release inspired you or highlighted opportunities to enhance the developer experience, please share your suggestions on the InterSystems Ideas Portal - every idea is reviewed by our product teams and can influence future releases.

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Here are the technology bonuses for the InterSystems "Bringing Ideas to Reality" Contest 2025 that will give you extra points in the voting:

  • Developer Experience Idea implemented - 4
  • IRIS Vector Search usage -3
  • Embedded Python usage -3
  • InterSystems Interoperability - 3
  • InterSystems IRIS BI - 3
  • VSCode Plugin - 3
  • FHIR Tools - 3
  • Docker container usage -2
  • ZPM Package Deployment - 2
  • Online Demo -2
  • Find and report a bug - 2
  • Article on Developer Community - 2
  • The second article on Developer Community - 1
  • Video on YouTube - 3
  • YouTube Short - 1
  • First Time Contribution - 3

See the details below.<--break->

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