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Build Data Lakes and Data Warehouses on Google Cloud

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...

By Google Cloud Training on Coursera

About This Course

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.

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Frequently Asked Questions

How much does Build Data Lakes and Data Warehouses on Google Cloud cost?

Visit the Build Data Lakes and Data Warehouses on Google Cloud course page for current pricing and available discounts.

Who teaches Build Data Lakes and Data Warehouses on Google Cloud?

Build Data Lakes and Data Warehouses on Google Cloud is taught by Google Cloud Training, Google Cloud.

What skill level is Build Data Lakes and Data Warehouses on Google Cloud for?

This course is designed for all levels learners.

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DurationSelf-paced
LevelAll Levels
Languageen
PlatformCoursera