Provides a comprehensive introduction to data engineering principles and foundational cloud computing for data. Students will learn to build and maintain scalable data pipelines, process and store large datasets, and implement cloud-based solutions for secure and efficient data management. With a focus on real-world applications, this course explores data ingestion, transformation, and storage strategies using AWS tools. By combining essential cloud computing skills with data engineering techniques, students will develop the expertise needed to support analytics, machine learning, and business intelligence workflows across diverse environments.
We offer the following class sections for this course (10-156-124). View more class specific details and registration information by selecting a class number.
Section | Status | Start/End Date | Register By | Instruction Mode | Campus | Meeting Information | Cost |
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#01 Fall | Open |
Aug 25 –
Dec 17
|
Aug 30 | Online Required Due Dates | Online |
Aug 25 – Dec 17
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Online
J.J. Minarcin
|
View Rates |