Apache airflow® has a modular architecture and uses a message queue to orchestrate an arbitrary number of workers Airflow™ is ready to scale to infinity. Apache airflow (or simply airflow) is a platform to programmatically author, schedule, and monitor workflows When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative Use airflow to author workflows (dags) that orchestrate tasks. It started at airbnb in october 2014 [1] as a solution to manage the company's increasingly complex workflows.
One of the main advantages of using a workflow system like airflow is that all is code, which makes your workflows maintainable, versionable, testable, and collaborative. Learn the basics of bringing your data pipelines to production, with apache airflow Install and configure airflow, then write your first dag with this interactive tutorial. Think of it as a sophisticated task scheduler that can handle complex dependencies between different jobs. Airflow’s extensible python framework enables you to build workflows connecting with virtually any technology. Imagine it as the maestro in a symphony of data tasks, ensuring each note is played in harmony, at the right time, and in the correct sequence.
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