Spring 2023 - CMPT 984 G100

Special Topics in Databases, Data Mining, Computational Biology (3)

Modern Data Systems

Class Number: 6934

Delivery Method: In Person


  • Course Times + Location:

    Jan 4 – Apr 11, 2023: Thu, 8:30–11:20 a.m.



This is a systems-oriented, seminar-style special topics course on the recent advances in the design and implementation of database systems. Specifically, we focus on online analytical processing and hybrid transactional and analytical workloads. The course will discuss recent and classic papers and systems in this area and analyse their relative merits. Topics include database architecture and techniques, query processing, data lakes, federated query processing, various operators and scheduling techniques, among others. We will focus on the impact of the changing hardware, programming languages and related software primitives on these systems, such as manycore/multicore processors, persistent memory, flash memory, high-speed, low-latency networks (e.g., RDMA), programmable networks and hardware accelerators (e.g., FPGAs), as well as new programming language features (e.g., coroutines). Working knowledge of database systems (e.g., CMPT 740 or equivalent) is assumed.

  • Database systems
  • Modern processors, storage hierarchy and networking
  • Data analytics systems
  • Query processing



To be discussed in the first week of class.



Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.

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 website http://www.sfu.ca/students/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