Spring 2022 - CMPT 459 D200
Special Topics in Database Systems (3)
Class Number: 7983
Delivery Method: In Person
Current topics in database and information systems depending on faculty and student interest.
This is a seminar-style special topics course on recent advances in graph analytics and management systems. Modern data analytics solutions (machine learning, data mining, etc.) often involve graph-based computations to infer useful results. The growing need of analyzing graph data, coupled with the rapid increase in the amount of graph data to be analyzed has led to the development of various large-scale graph analytics systems. Developing these systems requires careful design of fundamental components like graph data structures, concurrent execution models, scalable graph algorithms, as well as generic programming models. In this course, we will focus on scalable solutions and systems for emerging graph mining applications. We will explore how challenges in mining large graphs are being solved in real-world systems as well as the limitations inherent in their designs. This is a seminar-style course, meaning that students are expected to give presentations on research papers. Background in software systems, databases and parallel computing is preferable.
- Graph mining applications and their challenges
- Execution models
- Programming models
- Processing static and dynamic graphs
- Graph mining across different execution environments (e.g. shared memory, distributed, etc.)
To be discussed in the first week of class.
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TEACHING AT SFU IN SPRING 2022
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