Google Cloud
Modernizing Data Lakes and Data Warehouses with Google Cloud

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Google Cloud

Modernizing Data Lakes and Data Warehouses with Google Cloud

54,138 already enrolled

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Gain insight into a topic and learn the fundamentals.
4.7

(2,820 reviews)

Intermediate level
Some related experience required
Flexible schedule
Approx. 8 hours
Learn at your own pace
84%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.7

(2,820 reviews)

Intermediate level
Some related experience required
Flexible schedule
Approx. 8 hours
Learn at your own pace
84%
Most learners liked this course

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 assignments

Taught in English

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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 assignment1 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 assignment1 app item

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

What's included

17 videos1 assignment3 app items

A summary of the key learning points

What's included

1 video

Instructor

Instructor ratings
4.6 (537 ratings)
Google Cloud Training
Google Cloud
1,664 Courses2,750,269 learners

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Google Cloud

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4.7

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