Spring 2018 - CMPT 756 G100

Systems For Big Data (3)

Class Number: 10844

Delivery Method: In Person

Overview

  • Course Times + Location:

    Jan 3 – Apr 10, 2018: Tue, 11:30 a.m.–12:50 p.m.
    Burnaby

    Jan 3 – Apr 10, 2018: Thu, 11:30 a.m.–12:50 p.m.
    Burnaby

  • Prerequisites:

    Operating Systems (CMPT 300) and Data Base Systems (CMPT 354), or equivalents.

Description

CALENDAR DESCRIPTION:

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. Students with credit for CMPT 886 when offered as a Special Topics course in Big Data may not take this course for further credit.

COURSE DETAILS:

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 sometimes 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.
Students will get hands on experience deploying and securing these systems.
Further, the evolution of these technologies will be explored by reading both current and historically significant research papers.

Grading

NOTES:

To be discussed the first week of classes

Graduate Studies Notes:

Important dates and deadlines for graduate students are found here: http://www.sfu.ca/dean-gradstudies/current/important_dates/guidelines.html. The deadline to drop a course with a 100% refund is the end of week 2. The deadline to drop with no notation on your transcript is the end of week 3.

Registrar Notes:

SFU’s Academic Integrity web site http://students.sfu.ca/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating.  Check out the site for more information and videos that help explain the issues in plain English.

Each student is responsible for his or her conduct as it affects the University community.  Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS