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Data Science
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Serverless Data Processing with Dataflow: Operations

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.

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Serverless Data Processing with Dataflow: Operations

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  • icon1 hour 51 minutes
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About Serverless Data Processing with Dataflow: Operations

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.

What You Will Learn?

  • Introduction : 2mins.
  • Monitoring : 17mins.
  • Introduction : 2mins.
  • Logging and Error Reporting : 7mins.
  • Monitoring : 17mins.
  • Troubleshooting and Debug : 12mins.
  • Logging and Error Reporting : 7mins.
  • Performance : 13mins.
  • Troubleshooting and Debug : 8mins.
  • Testing and CI/CD : 27mins.
  • Performance : 13mins.
  • Reliabiity : 19mins.
  • Testing and CI/CD : 27mins.
  • Flex Templates : 10mins.
  • Reliabiity : 19mins.
  • Summary : 4mins.
  • Flex Templates : 10mins.
  • Summary : 4mins.