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Getting Started With Apache Airflow on Cloud Composer

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At DoiT International, we are committed to helping customers with their journey through the cloud. One of the common challenges our customers face is not having experience with a particular cloud service, needing to use it, and facing the prospect of having to overcome a steep clearing curve.

Google Cloud Composer is one of those services with a bit of a steep learning curve.

Cloud Composer is a fully managed orchestration service to run workflows that can span multiple cloud providers and on-premises data centers. Cloud Composer is built on Apache Airflow and uses Python for scripting purposes.

If you start from scratch, most people have to spend a lot of time switching between the docs for Cloud Composer and Apache Airflow.

To make it easier to get started with Cloud Composer, I have written a mini-book that provides a short course about the basics of Apache Airflow and how to run it with Cloud Composer on the Google Cloud Platform.

Get the mini-book 

You can read my mini-book here:

📘 Getting started with Apache Airflow on Cloud Composer

The mini-book covers:

  • Apache Airflow and its concepts
  • Understanding Google Cloud Composer
  • Setting up Airflow
  • Building Airflow pipelines
    • Writing DAGs
    • Writing custom plugins
    • Testing Airflow
    • Continuous Integration (CI) and Continuous Delivery (CD)

The mini-book is open source (MIT) and available on GitHub. Contributions are more than welcome. Please feel free to make a GitHub pull request or open a new issue with any suggestions, comments or questions you have.

I hope this mini-book helps you on your journey with Cloud Composer and the cloud.

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