Back to Virtualization, Docker, and Kubernetes for Data Engineering
Learner Reviews & Feedback for Virtualization, Docker, and Kubernetes for Data Engineering by Duke University
49 ratings
About the Course
Throughout this course, you'll explore virtualization, containerization, and Kubernetes, mastering the very tools that power data engineering in the industry. Each week presents a new set of tools and platforms that are indispensable in data engineering. From mastering Docker and Kubernetes to exploring advanced topics such as AI-driven coding with GitHub Copilot, efficient container image management with Azure and Amazon Elastic Container Registries, and Site Reliability Engineering (SRE) practices, you'll go beyond the basics and acquire the expertise needed to thrive in the dynamic and data-driven landscape of advanced data engineering. Whether you're a current student looking to expand your skills or a working professional aiming to take your expertise to the next level, this course is tailored to equip you with the advanced knowledge and hands-on experience necessary for success.
Top reviews
VV
Mar 19, 2025
For the first time I really understood what "virtualization" is and how things sort of expand for larger and larger units. Really solid stuff on CI/CD stuff also.
ML
Feb 18, 2024
It was great but the last module of week 4 felt isolated from the rest of the course.
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