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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 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.

  • What data is needed to solve the business problem?
  • What quantity of data is required?
  • Do you have enough data to build a model?
  • Do you need more data to extend the existing data?
  • Ho...

Laying the groundwork for digital dexterity

  • Leaders need to communicate the organisations need for digital dexterity.
  • They should ensure that workflows, incentives, budgets, and policies promote digital dexterity.
  • Organisations should build digital capabilities such as collabor...

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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