— Data Processing Pipelines
Introduction to software systems for processing large datasets. Hands-on experience with scripting, data streams, distributed computing, and software development and deployment infrastructure.
Prerequisites & course information
Course Description: Introduction to software systems for processing large datasets. Hands-on experience with scripting, data streams, distributed computing, and software development and deployment infrastructure. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One restricted to Data Science majors; Pass Two restricted to undergraduate students. Grade Mode: Letter. General Education: Science & Engineering (SE). Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One restricted to Data Science majors; Pass Two restricted to undergraduate students. Grade Mode: Letter. General Education: Science & Engineering (SE).
Sources
- Course catalogue ↗2026-2027