'Big Data' phenomenon is an emerging force in the global business world. It is characterised by five Vs: Volume, Velocity, Variety, Veracity and Value. It increasingly makes data sets too large to store and analyse beyond the ability of traditional relational database technology. This unit provides fundamentals related to the technology and the core concepts behind big data problems, applications, and systems. It provides an introduction to the most common open-source software framework to increase the potential for data to transform our world. Students will develop comprehensive understanding of the challenges that organisations are facing for managing 'Big Data' and the technological solutions for efficient and strategic decision making.

Unit details

Study level:
Undergraduate
Credit points:
12
Unit code:
NIT2202

Prerequisites

NIT1102 - Introduction to Programming or

NIT1201 - Introduction to Database Systems

Learning Outcomes

On successful completion of this unit, students will be able to:
  1. Analyse and illustrate Big Data challenges to the business world;  
  2. Explain the impact of Big Data's five V's (volume, velocity, variety veracity and value) using real world examples;  
  3. Apply architectural components and programming models of commonly used Big Data;  
  4. Install and execute a technological solution using open-source software framework.  

Assessment

Melbourne campuses

Students studying under the VU Block Model.

Assessment type Description Grade
Test Test 1 20%
Test Test 2 20%
Laboratory Work Practical Lab work 30%
Case Study Group assignment and presentation 30%

Other locations

Assessment type Description Grade
Test Knowledge Test (1 hour) 25%
Laboratory Work Weekly Practical Lab Work 25%
Examination Final Written Examination (3 hours) 50%

Required reading

Big data fundamentals: Concepts, drivers & techniques
Erl, T., Khattak, W., & Buhler. P. (2016)
Prentice Hall: Boston, MA

Hands-On Data Science with Anaconda
Yan, Y. & Yan, J. (2018)
Packt Publishing.

Where to next?

As part of a course

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