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.

Build Data Lakes and Data Warehouses on Google Cloud

Build Data Lakes and Data Warehouses on Google Cloud
This course is part of multiple programs.

Instructor: Google Cloud Training
Access provided by Saudi Energy Efficiency Center
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What you'll learn
Differentiate between data lakes and data warehouses.
Explore use-cases for each type of storage and the available data lake and warehouse solutions on Google Cloud.
Discuss the role of a data engineer and the benefits of a successful data pipeline to business operations.
Examine why data engineering should be done in a cloud environment.
Skills you'll gain
Tools you'll learn
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There are 7 modules in this course
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Reviewed on Apr 15, 2020
Good course but perhaps to make things stick, we would have used one project and built upon it. I felt like I was being tossed all over the place in terms of subjects and topics.
Reviewed on Jan 3, 2022
Great!!! Key to understand how to take advantage of the resources offered by the Google cloud to a modern way to build and process your data.
Reviewed on Dec 5, 2020
Really well put together with interesting content and good examples. The labs allow really good practice and help to build confidence.





