Docker containers for big data course in uni

I developed customized docker containers with detailed documentation on installation, testing, and debugging containing all the tools needed for the course. To streamline the process and ensure that the same environment and setup was used by both the instructor and the students.

This solution removed the technical obstacles that hinder students’ progress and allow them to focus on the core concepts of programming big data. Implementing these containers significantly reduced setup time and effort, enhancing the learning experience for everyone. The positive feedback from classmates and the instructor validated the effectiveness of this approach in fostering a more accessible and collaborative learning environment.