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    Serverless Data Processing with Dataflow: Operations

    09

    Serverless Data Processing with Dataflow: Operations

    magic_button Data Pipeline Serverless Data Processing
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    14 heures 45 minutes Avancé universal_currency_alt 10 crédits

    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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    Informations sur le cours
    Objectifs
    • 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
    Prérequis

    Serverless Data Processing with Dataflow: Develop Pipelines

    Cible
    Data engineers, data analysts and data scientists aspiring to develop Data Engineering skills.
    Langues disponibles
    English, español (Latinoamérica), português (Brasil) et 日本語