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Serverless Data Processing with Dataflow: Foundations

This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow.

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About Serverless Data Processing with Dataflow: Foundations

This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow.

In this first course, we start with refreshers of:

what Apache Beam is and its relationship with DataflowApache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backendhow Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines

Lastly, we look at how to implement the right security model for your use case on Dataflow.

What You Will Learn?

  • Introduction : 3mins.
  • Beam Portability : 5mins.
  • Introduction : 3mins.
  • Separating Compute and Storage with Dataflow : 5mins.
  • Beam Portability : 5mins.
  • IAM, Quotas, and Permissions : 12mins.
  • Separating Compute and Storage with Dataflow : 5mins.
  • Security : 14mins.
  • IAM, Quotas, and Permissions : 12mins.
  • Summary : 4mins.
  • Security : 10mins.
  • Summary : 4mins.