Provides advanced coverage of tools and techniques for big data management and for processing, mining, and building applications that leverage large datasets. Addresses database and distributed storage design for both SQL and NoSQL systems, and focuses on the application of distributed computing tools to perform data integration, apply machine learning, and build applications that leverage big data. Students will also examine the security and ethical implications of large-scale data collection and analysis.
This course may not be repeated for credit.
Prerequisite(s)
- Data Science 601, 602, 603, 604 and admission to the Graduate Diploma in Data Science and Analytics, or the Master of Data Science and Analytics.
Sections
| LEC 1 | TR 17:00 - 19:45
| TI STUDIODE
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| Notes: Please refer to your Student Centre for fees associated with this class. This information will be available before the first day of classes. |
This course will be offered next in
Winter 2024.