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Module

CSC8101 : Big Data Analytics

  • Offered for Year: 2020/21
  • Module Leader(s): Professor Paolo Missier
  • Owning School: Computing
  • Teaching Location: Newcastle City Campus
Semesters
Semester 2 Credit Value: 10
ECTS Credits: 5.0

Aims

The aim of Big Data Analytics is to analyse large amounts of data in order to extract useful information. Examples include analysing the world wide web to power web search engines, optimising the design of e-commerce sites by analysing user activity, and processing “open linked data” released globally both by governments in order to improve public services, as well as by research organizations in order to improve data sharing. Whilst data analysis has been an important topic for many decades, three developments have led to a surge of interest in new algorithms and methods. Firstly, there has been an explosion in the quantity and variety of data generated by organisations, programs and sensors: the web is one example of this. This has placed the processing of this data beyond existing approaches. Secondly, cloud computing has provided a new type of dynamically scalable platform on which to parallelise data analysis. Thirdly, there is enormous potential for insight and action deriving from the real-time analysis of data – such as from sensors, social media and e-commerce.
This module focusses on the algorithms, technologies and architectures required to analyse “big data”, with a particular focus on cloud-based solutions.

Outline Of Syllabus

- Scalable data management architectures
- Overview of data-parallel problems in e-science
- Patterns and technology for exploiting cloud infrastructure on data-parallel problems
- Graph databases and their application to social media analysis
- Scalable real-time data processing

Teaching Methods

Module leaders are revising this content in light of the Covid 19 restrictions.
Revised and approved detail information will be available by 17 August.

Assessment Methods

Module leaders are revising this content in light of the Covid 19 restrictions.
Revised and approved detail information will be available by 17 August.

Reading Lists

Timetable