Yearbooks

Big data 805


 
Module code MIT 805
Qualification Postgraduate
Faculty Faculty of Engineering, Built Environment and Information Technology
Module content

This module focuses on tools for Big Data processing. The focus is on the 3 V- characteristics of Big Data namely volume, velocity and variety. Students will learn about the different architectures available for Big Data processing. The map-reduce algorithm will be studied in detail as well as graphical models for Big Data. The module will include a significant component of practical work (hands-on) where students will be exposed to real use cases that are or can be implemented on Big Data platforms.

Module credits 10.00
NQF Level 09
Prerequisites First year level higher education modules in Computer Science.
Contact time 10 contact hours
Language of tuition Module is presented in English
Department School of Information Technology
Period of presentation Semester 2

The information published here is subject to change and may be amended after the publication of this information. The General Regulations (G Regulations) apply to all faculties of the University of Pretoria. It is expected of students to familiarise themselves well with these regulations as well as with the information contained in the General Rules section. Ignorance concerning these regulations and rules will not be accepted as an excuse for any transgression.

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