GoogleCloud: Serverless Data Processing with Dataflow: Operations

64,00 

In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational model.

Categories ,

64,00 

In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational model.

Categories ,

Discover the Course

About this course

In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational model. We will examine tools and techniques for troubleshooting and optimizing pipeline performance. We will then review testing, deployment, and reliability best practices for Dataflow pipelines. We will conclude with a review of Templates, which makes it easy to scale Dataflow pipelines to organizations with hundreds of users. These lessons will help ensure that your data platform is stable and resilient to unanticipated circumstances.

At a glance

  • Institution: GoogleCloud
  • Subject: Computer Science
  • Level: Advanced
  • Prerequisites:
    None
  • Language: English
  • Video Transcript: English
  • Associated programs:
    • Professional Certificate in Google Cloud Data Engineer Learning Path

What you’ll learn

  • Perform monitoring, troubleshooting, testing and CI/CD on Dataflow pipelines.
  • Deploy Dataflow pipelines with reliability in mind to maximize stability for your data processing platform.

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