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Data Engineering on Google Cloud

Papa Georgio, Authored by Google Cloud, and AWS

This path provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and derive insights. The courses cover structured, unstructured, and streaming data.

What You'll Learn

  • Design and build data processing systems on Google Cloud Platform
  • Lift and shift your existing Hadoop workloads to the Cloud using Cloud Dataproc.
    • Read more

    This path provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and derive insights. The courses cover structured, unstructured, and streaming data.

    What You'll Learn

  • Design and build data processing systems on Google Cloud Platform
  • Lift and shift your existing Hadoop workloads to the Cloud using Cloud Dataproc.
  • Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow
  • Manage your data Pipelines with Data Fusion and Cloud Composer.
  • Derive business insights from extremely large datasets using Google BigQuery
  • Learn how to use pre-built ML APIs on unstructured data and build different kinds of ML models using BigQuery ML.
  • Enable instant insights from streaming data
    • This collection is no longer available.

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    Time
    464 hours
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    Pluralsight
    Institution
    Instructors
    Papa Georgio
    Authored by Google Cloud
    AWS
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