What are the principles of Airflow? - Deepstash
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What are the principles of Airflow?

  • Dynamic : pipelines are configuration as code, allowing for dynamic pipeline generation. This allows for writing code that instantiates pipelines dynamically.
  • Extensible : Easily define your operators, executors and extend the library so that it fits the level of abstraction that suits your environment.
  • Elegant : pipelines are lean and explicit. Parameterizing your scripts is built into the core of Airflow using the powerful Jinja templating engine.
  • Scalable : has a modular architecture and uses a message queue to orchestrate an arbitrary number of workers. Airflow is ready to scale to infinity.

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"Airflow is a platform to programmatically author, schedule and monitor workflows"

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The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed.

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Β The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies.

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It is used for the scheduling and orchestration of data pipelines or workflows as directed acyclic graphs (DAGs) of tasks.

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