COM SCI 214
Big Data Systems
Computer Science · 4 units · Graduate courses (200-299)
Modern computing has entered era of big data. Introduction to concepts and state-of-art in modern big data systems. Study of distributed storage and database systems, which provide foundation for other systems. Discussion of systems built for specific kinds of workloads, such as processing of streaming data, relational data, batched data, graph data, as well as machine learning.
Letter grading.
Requisites
Official UCLA wording
Enforced requisite: course 111.
BruinTree reads · Prerequisite
confidence 1.00 · from textRequires
Everything that has to come before this course, not just the courses named in the requisite above.
COM SCI 214
- COM SCI 111Operating Systems Principles
- COM SCI 32Introduction to Computer Science II
- COM SCI 31Introduction to Computer Science I
- COM SCI 33Introduction to Computer Organization
- COM SCI 35LSoftware Construction
- COM SCI 31Introduction to Computer Science I
1 direct requisite. The whole upstream is here — 8 courses over 3 levels. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.