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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.
I was discussing the interoperability side of FHIR as part of a discussion about the best resource/s that should be used in order to represent Antibiotic resilience, and although we've reached an agreement, that got me thinking of two thing, and I'd love to know your thoughts on those matters.
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