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    Serverless Data Processing with Dataflow: Operations

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    Serverless Data Processing with Dataflow: Operations

    magic_button Data Pipeline Data Processing Serverless
    These skills were generated by A.I. Do you agree this course teaches these skills?
    10 hours Advanced universal_currency_alt No cost

    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.

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    Course Info
    Objectives
    • 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
    Prerequisites

    Serverless Data Processing with Dataflow: Develop Pipelines
    Audience
    Data engineers, data analysts and data scientists aspiring to develop Data Engineering skills.
    Available languages
    English, español (Latinoamérica), português (Brasil), and 日本語
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    View the public classroom schedule here.
    Can I take this course for free?
    When you enroll into most courses, you will be able to consume course materials like videos and documents for free. If a course consists of labs, you will need to purchase an individual subscription or credits to be able consume the labs. Labs can also be unlocked by any campaigns you participate in. All required activities in a course must be completed to be awarded the completion badge.
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