Welcome to the third course in the Building Cloud Computing Solutions at Scale Specialization! In this course, you will learn how to apply Data Engineering to real-world projects using the Cloud computing concepts introduced in the first two courses of this series. By the end of this course, you will be able to develop Data Engineering applications and use software development best practices to create data engineering applications. These will include continuous deployment, code quality tools, logging, instrumentation and monitoring. Finally, you will use Cloud-native technologies to tackle complex data engineering solutions.
This course is part of the Building Cloud Computing Solutions at Scale Specialization
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Course 3 of 4 in the
Intermediate Level
Beginner level Linux and Python skills
Approx. 17 hours to complete
English
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 3 of 4 in the
Intermediate Level
Beginner level Linux and Python skills
Approx. 17 hours to complete
English
Offered by
Syllabus - What you will learn from this course
4 hours to complete
Getting Started with Cloud Data Engineering
4 hours to complete
24 videos (Total 101 min), 6 readings, 1 quiz
6 hours to complete
Examining Principles of Data Engineering
6 hours to complete
9 videos (Total 156 min), 1 reading, 1 quiz
4 hours to complete
Building Data Engineering Pipelines
4 hours to complete
22 videos (Total 192 min), 2 readings, 1 quiz
3 hours to complete
Applying Key Data Engineering Tasks
3 hours to complete
14 videos (Total 116 min), 3 readings, 1 quiz
Reviews
- 5 stars47.36%
- 4 stars31.57%
- 3 stars8.77%
- 2 stars10.52%
- 1 star1.75%
TOP REVIEWS FROM CLOUD DATA ENGINEERING
by RADec 30, 2021
Very important information and concepts was shared.
About the Building Cloud Computing Solutions at Scale Specialization

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