Loading...
No results found.
    Share on LinkedIn Feed Twitter Facebook

    Google Cloud Skills Boost
    Your Learning progress might get lost. Sign in or Join to save your progress.
    close

    09

    Serverless Data Processing with Dataflow: Operations

    Path navigate_next Course navigate_next Overview

    09

    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.

    Complete this activity and earn a badge! Boost your cloud career by showing the world the skills you’ve developed.

    Badge for Serverless Data Processing with Dataflow: Operations
    info
    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) ו日本語
    Preview