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DATA604

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Working with Data at Scale

Computer Science SC - Faculty of Science

Subject

DATA - Data Science

Description

Explores the progression of data storage and processing, beginning with small, simple files and continuing to big, cloud-based databases. Data representation and simple file structures. An introduction to core database concepts with a variety of underlying data models, with a practical introduction to both SQL and NoSQL systems. Parallel and distributed storage and processing, including an introduction to cloud computing. Practical implications of storing and manipulating data at scale, with emphasis on ethics, privacy, and security.

Prerequisite(s): Data Science 601 and admission to the Graduate Certificate in Fundamental Data Science and Analytics or the Graduate Diploma in Data Science and Analytics, or the Master of Data Science and Analytics.

Course Attributes

Fee Rate Group(Domestic) - H, Fee Rate Group(International) -G, GFC Hours (3-0)

Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.

Component

LEC

Units

3

Repeat for Credit

No

Subject code

DATA

Understanding Course Information

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