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.
Modernizing Data Lakes and Data Warehouses with Google Cloud
Modernizing Data Lakes and Data Warehouses with Google Cloud
This course is part of multiple programs.
Instructor: Google Cloud Training
45,500 already enrolled
Course
Gain insight into a topic and learn the fundamentals
4.7
(2,679 reviews)
Intermediate level
No previous experience necessary
7 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
Shareable Certificate
Add to your LinkedIn profile
Quizzes and assessments
0 quizzes, 3 assessments
English
Subtitles: English
Course
Gain insight into a topic and learn the fundamentals
4.7
(2,679 reviews)
Intermediate level
No previous experience necessary
7 hours (approximately)
Flexible schedule
Learn at your own pace
Build your subject-matter expertise
This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
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 describes the role of a data engineer and motivates the claim why data engineering should be done in the Cloud
What's included
14 videos
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 videos
In this module, we talk about BigQuery as a data warehousing option on Google Cloud
What's included
16 videos
A summary of the key learning points
What's included
1 video
Instructor
Instructor ratings
4.6 (505 ratings)Offered by
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.
This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.
