It is used for the scheduling and orchestration... - Deepstash
Machine Learning With Google

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Machine Learning With Google

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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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"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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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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Identifying and collecting data

Ask questions, such as.

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  • What quantity of data is required?
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  • Do you need more data to extend the existing data?
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Laying the groundwork for digital dexterity

  • Leaders need to communicate the organisations need for digital dexterity.
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Improving sticky workflows

Once you've implemented your workflow, continue to analyze your process to see how effective it is. Metics to look at:

  • How often the workflow is initiated
  • How often it's completed
  • How long it takes to perform tasks in the workflow
  • Ho...

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