" Airflow is a platform to programmatically author,... - Deepstash
Machine Learning With Google

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How Google uses logic in machine learning

Machine Learning With Google

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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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30 reads

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

5

27 reads

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

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39 reads

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...

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Workflow analysis

Workflow analysis has 3 goals:

  • To document and represent the workflows.
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