CS 631Data-Intensive Distributed Analytics
- Units
- 0.50
- Level
- Graduate
- Faculty
- Mathematics
- Subject
- Computer Science
CS 631 as listed in the Spring 2024 Graduate Calendar. The main page has the current version, when it runs, and seats.
Introduces non-CS major students to infrastructure for data-sensitive analytics, with a focus on abstractions, frameworks, and algorithms that allow developers to distribute computations across many machines. Topics include core concepts (partitioning, replication, locality, consistency), computational models (MapReduce, dataflows, stream processing, bulk-synchronous parallel), and applications.
Prerequisites
None listed.
Antirequisites
None listed.
Leads to
No course lists it as a requisite.
Check it elsewhere for Spring 2024
- Graduate Calendar, Spring 2024The archived entry
- Requirements for Spring 2024Waterloo’s requisite checker
- Course outlinesSyllabi from past terms (UW login)
- UW FlowStudent ratings and reviews
- WClassesPast sections back to 2004, and who taught them