Systems For Big Data CMPT 756 (3)
From health care to social media the world generates a tremendous amount of data every day, often too much to be processed on a single computer or even some-times a single data centre. In this graduate seminar we will learn about technologies and systems behind Big Data. In particular, we will discuss what challenges exist in processing and storing massive amounts of data. We will explore how these challenges are being solved in real-world systems as well as the limitations inherent in these designs. The evolution of these technologies will be explored by reading both current and historically significant research papers. Prerequisite: Operating Systems (CMPT 300) and Data Base Systems (CMPT 354), or equivalents. Students with credit for CMPT 886 when offered as a Special Topics course in Big Data may not take this course for further credit.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Ryan Shea |
Jan 3 – Apr 10, 2018: Tue, 11:30 a.m.–12:50 p.m.
Jan 3 – Apr 10, 2018: Thu, 11:30 a.m.–12:50 p.m. |
Burnaby Burnaby |