The rich user interface makes it easy to visualize... - Deepstash
Machine Learning With Google

Learn more about computerscience with this collection

Understanding machine learning models

Improving data analysis and decision-making

How Google uses logic in machine learning

Machine Learning With Google

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

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 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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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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Other curated ideas on this topic:

Good user interface

Good user interface design is based on human goals and behavior. The user interface in-turn affects behavior, which drives further design decisions. In subtle and unconscious ways, user experience alters how humans make decisions. 

What is seen, where it is presented, and h...

17. Not Breaking Down Big Projects

Big projects look overwhelming and often lead to stress and procrastination.

Time management tips:

  • Break it down. Whenever you start a new task, break it down into steps that you can complete in 20–30 minutes, even if they look trivial.

The process principle

Incorporating efficient production processes into knowledge work can make an incredible difference in increasing performance and minimizes ambiguity as to what to work on at any given time. Task boards like Asana and Trello are some of the key tools when it comes to setting up processes....

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