James Cook University Subject Handbook - 2021

MA5831 - Advanced Data Management and Analysis using SAS

Subject Description

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

Subject Assessment

• Written > Test/Quiz 1 - (10%) - Individual
• Written > Case report 1 - (30%) - Individual
• Written > Literature review - (30%) - Individual
• SAS online, case study and review - (30%) - Individual

Note that 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.

Availabilities