MA5831 - Big Data: Management and Processing
| Credit points: | 03 |
| Year: | 2019 |
| Student Contribution Band: | Band 2 |
| Administered by: |
This subject will provide students with cutting-edge tools and techniques for high-performance and large-scale computing, with focus on computer models and software designed to handle Big Data sets in a distributed and/or parallel fashion. Particular focus will be given to distributed and parallel computing using Map-Reduce/Hadoop and similar models for processing Big Data sets.
Learning Outcomes
- list the different systems and approaches for high-performance and large-scale computing, as well as explain their differences;
- conceptually describe and apply models for distributed and parallel computing of Big Data sets, such as MapReduce and Spark;
- choose and apply different techniques and software for distributed and cloud computing of Big Data, such as Hadoop.
| Prerequisites: | 24CP OF POSTGRADUATE SUBJECTS |
Availabilities | |
| , Study Period 83 | |
| Census Date 16-May-2019 | |
| Contact hours: |
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| Method of Delivery: | Online - JCU |
| Assessment: | quizzes or tests (20%); assignments (60%); computational laboratories/log book (20%). |
Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.