MA5831 - Advanced Data Management and Analysis using SAS

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: 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.