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

Modernizing Data Lakes and Data Warehouses with Google Cloud

This course is part of multiple programs.

Taught in English

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Course

Gain insight into a topic and learn the fundamentals

4.7

(2,780 reviews)

|

84%

Intermediate level
Some related experience required
8 hours (approximately)
Flexible schedule
Learn at your own pace

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.

Details to know

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Assessments

3 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.7

(2,780 reviews)

|

84%

Intermediate level
Some related experience required
8 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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There are 5 modules in this course

This module introduces the Data Engineering on Google Cloud source series and this Modernizing Data Lakes and Data Warehouses with Google Cloud course.

What's included

2 videos

This module discusses the role of data engineering and motivates the claim why data engineering should be done in the Cloud

What's included

14 videos1 quiz1 app item

In this module, we describe what data lake is and how to use Cloud Storage as your data lake on Google Cloud.

What's included

8 videos1 quiz1 app item

In this module, we talk about BigQuery as a data warehousing option on Google Cloud

What's included

17 videos1 quiz3 app items

A summary of the key learning points

What's included

1 video

Instructor

Instructor ratings
4.6 (527 ratings)
Google Cloud Training
Google Cloud
1,397 Courses2,568,944 learners

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Google Cloud

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