GCP Data Engineer Pro: Using Google Datastream

Google Cloud 2024    |    Intermediate
  • 11 videos | 50m 3s
  • Includes Assessment
  • Earns a Badge
Rating 5.0 of 1 users Rating 5.0 of 1 users (1)
Great data analysis is hard to achieve without bringing in data using a service like Datastream, which offers easy-to-use and serverless change data capture and replication. In this course, discover the integral role of Datastream within data pipelines, its primary use cases, how it seamlessly integrates into various stages, and the diverse sources and destinations that Datastream can connect with. Next, explore the network configurations necessary for optimal connectivity, build connection profiles, examine the life cycle of a stream, and maintain and manage streams effectively. Finally, learn how to configure Datastream to replicate data into BigQuery and stream data into Cloud Storage. This course is one of a collection that prepares learners for the Google Professional Data Engineer exam.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Outline the key use cases for datastream and where it fits in the data pipeline
    List the available options for sources and destinations of datastream configurations
    Identify the available network options for creating connectivity between sources and destinations
    Build a connection profile for datastream sources or destinations
    Outline the life cycle of a stream and the steps associated with maintaining it
  • Configure a basic datastream setup to replicate data into bigquery
    Configure a basic datastream setup to stream data into cloud storage
    List the choices that affect cost when using google datastream
    Identify common issues that can arise with datastream and how to troubleshoot them
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 2s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 4m 15s
    After completing this video, you will be able to outline the key use cases for Datastream and where it fits in the data pipeline. FREE ACCESS
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    3.  Datastream Sources and Destinations
    5m 53s
    Upon completion of this video, you will be able to list the available options for sources and destinations of Datastream configurations. FREE ACCESS
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    4.  Network Controls for Datastream
    5m 28s
    Through this video, you will identify the available network options for creating connectivity between sources and destinations. FREE ACCESS
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    5.  Creating Connection Profiles
    4m 54s
    Discover how to build a connection profile for Datastream sources or destinations. FREE ACCESS
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    6.  Stream Life Cycle and Management Steps
    3m 17s
    In this video, we will outline the life cycle of a stream and the steps associated with maintaining it. FREE ACCESS
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    7.  Configuring Near Real-time Replication with Datastream
    8m 18s
    During this video, you will learn how to configure a basic Datastream setup to replicate data into BigQuery. FREE ACCESS
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    8.  Streaming Changes with DataStream to a Storage Bucket
    4m 27s
    Find out how to configure a basic Datastream setup to stream data into Cloud Storage. FREE ACCESS
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    9.  Datastream Pricing
    4m 12s
    Through this video, you will be able to list the choices that affect cost when using Google Datastream. FREE ACCESS
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    10.  Datastream Troubleshooting
    7m 25s
    After completing this video, you will be able to identify common issues that can arise with Datastream and how to troubleshoot them. FREE ACCESS
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    11.  Course Summary
    53s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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