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Serverless Data Analysis with Google BigQuery and Cloud Dataflow

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Google Cloud

3:44:01

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  • 0. Course Introduction.mp4
    05:46
  • 1. What is BigQuery-.mp4
    05:46
  • 2. BigQuery Demonstration.mp4
    03:57
  • 3. BigQuery Benefits.mp4
    07:36
  • 4. BigQuery In a Reference Architecture.mp4
    08:45
  • 5. BigQuery Queries and Functions.mp4
    08:23
  • 6. BigQuery Subqueries and Multiple Tables.mp4
    03:06
  • 7. Serverless Data Analysis with BigQuery - Lab 1 - Build a BigQuery Query v1.3.mp4
    00:10
  • 8. Lab demo and review - Building a BigQuery query.mp4
    09:01
  • 9. BigQuery Load and Export Data.mp4
    02:04
  • 10. Serverless Data Analysis with BigQuery - Lab 2 - Loading and Exporting Data v1.3.mp4
    00:10
  • 11. Lab demo and review - Load and Export.mp4
    13:37
  • 12. Advanced Capabilities in BigQuery.mp4
    07:38
  • 13. BigQuery Arrays and Structures.mp4
    06:09
  • 14. BigQuery - Join Condition and Window Functions.mp4
    06:46
  • 15. BigQuery - User Defined Functions.mp4
    03:20
  • 16. Serverless Data Analysis with BigQuery - Lab 3 - Advanced SQL Queries v1.3.mp4
    00:10
  • 17. Lab demo and review - BigQuery Advanced Capabilities.mp4
    14:15
  • 18. BigQuery Performance and Pricing.mp4
    07:21
  • 19. BigQuery Wildcard Tables and Partitioning.mp4
    07:31
  • 20. BigQuery Plans and Categories.mp4
    04:43
  • 0. Dataflow - Autoscaling Data Processing Pipelines.mp4
    06:33
  • 1. Write Data Pipelines in Java and Python.mp4
    09:54
  • 2. Dataflow - Input Output and Run.mp4
    06:32
  • 3. Serverless Data Analysis with Dataflow - Lab 1 - A Simple Dataflow Pipeline (Python) v1.3.mp4
    00:10
  • 4. Serverless Data Analysis with Dataflow - Lab 1 - A Simple Dataflow Pipeline (Java) v1.3.mp4
    00:10
  • 5. Lab demo and review - A Simple Dataflow pipeline.mp4
    18:37
  • 6. MapReduce and Parallel Processing in Dataflow.mp4
    11:00
  • 7. Dataflow GroupBy and Combine.mp4
    07:53
  • 8. Dataflow Combine versus GroupBy.mp4
    07:56
  • 9. Serverless Data Analysis with Dataflow - Lab 2 - MapReduce in Dataflow (Python) v1.3.mp4
    00:10
  • 10. Serverless Data Analysis with Dataflow - Lab 2 - MapReduce in Dataflow (Java) v1.3.mp4
    00:10
  • 11. Lab demo and review - MapReduce in Dataflow.mp4
    06:21
  • 12. Dataflow Side Inputs.mp4
    07:34
  • 13. Serverless Data Analysis with Dataflow - Lab 3 - Side Inputs (Python) v1.3.mp4
    00:10
  • 14. Serverless Data Analysis with Dataflow - Lab 3 - Side Inputs (Java) v1.3.mp4
    00:10
  • 15. Lab demo and review - Dataflow Side Inputs.mp4
    10:18
  • 16. Dataflow Templates and Dataprep.mp4
    04:09
  • Description


    Through a combination of instructor-led presentations, demonstrations and hands-on labs, you'll learn how to carry out no-ops data warehousing and pipeline processing.

    What You'll Learn?


      This 1-week, accelerated on-demand course builds upon Google Cloud Platfrom Big Data and Machine Learning Fundamentals. Through a combination of instructor-led presentations, demonstrations and hands-on labs, students learn how to carry out no-ops data warehousing and pipeline processing.

    More details


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    Google Cloud
    Google Cloud
    Instructor's Courses
    Google Cloud can help solve your toughest problems and grow your business. With Google Cloud, their infrastructure is your infrastructure. Their tools are your tools. And their innovations are your innovations.
    Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.
    • language english
    • Training sessions 38
    • duration 3:44:01
    • level average
    • Release Date 2023/10/11