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.
Cloud Data Engineering
Cloud Data Engineering
This course is part of Building Cloud Computing Solutions at Scale Specialization
Instructor: Noah Gift
6,095 already enrolled
Course
Gain insight into a topic and learn the fundamentals
4.1
(57 reviews)
Intermediate level
Recommended experience
17 hours (approximately)
Flexible schedule
Learn at your own pace
Details to know
Shareable Certificate
Add to your LinkedIn profile
Quizzes and assessments
0 quizzes, 4 assessments
English
Subtitles: English
Course
Gain insight into a topic and learn the fundamentals
4.1
(57 reviews)
Intermediate level
Recommended experience
17 hours (approximately)
Flexible schedule
Learn at your own pace
Build your subject-matter expertise
This course is part of the Building Cloud Computing Solutions at Scale Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- 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 4 modules in this course
This week, you will learn about the methodologies involved in Data Engineering. You will also learn to evaluate best practices for dealing with the end of Moore’s Law, develop distributed systems that apply software engineering best practices and evaluate best practices for implementing solutions with Big Data. You will apply these practices to build a GPU programming project using Numba and the CUDA SDK.
What's included
24 videos6 readings
This week, you will learn what Data Engineering is and how to use software engineering best practices in Data Engineering. You will then apply this knowledge by building a command-line data processing tool.
What's included
9 videos1 reading
This week, you will learn serverless data engineering techniques and data governance best practices. You will then apply this knowledge by building a serverless Data Engineering system.
What's included
22 videos2 readings
This week, you will learn about key Data Engineering tasks including ETL, Cloud Databases and Cloud Storage. You will then apply this knowledge by building a serverless AWS lambda function that labels an image using the AWS Rekognition API.
What's included
14 videos3 readings
Instructor
Instructor ratings
4.5 (18 ratings)Offered by
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4.1
57 reviews
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Reviewed on Dec 30, 2021
Recommended if you're interested in Information Technology
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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