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MA3831 - Big Data

[Not offered in 2020]

Credit points: 3
Year: 2020
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.

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.