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Modernizing Data Lakes and Data Warehouses with Google Cloud

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Duration

3h

level

Beginner

Course Creator

Google Cloud

Last Updated

01-Sep-22

The two key components of any data pipeline are data lakes and warehouses.

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The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Batch Data Pipelines on Google Cloud course.
Author Name: Google Cloud
Author Description:
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.

Table of Contents

  • Introduction
    3mins
  • Introduction to Data Engineering
    40mins
  • Building a Data Lake
    42mins
  • Building a Data Warehouse
    91mins
  • Summary
    2mins
  • Course Resources
    0mins

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Modernizing Data Lakes and Data Warehouses with Google Cloud
Modernizing Data Lakes and Data Warehouses with Google Cloud
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