Big Data Management

INF20016 12.5 Credit Points Hawthorn Available to incoming Study Abroad and Exchange students

Duration

  • One Semester or equivalent

Contact hours

  • 36

On-campus unit delivery combines face-to-face and digital learning.

2022 teaching periods

Hawthorn

Higher Ed. Semester 2

Dates:
1 Aug 22 - 30 Oct 22

Results:
6 Dec 22

Last self enrolment:
14 Aug 22

Census:
31 Aug 22

Last withdraw without fail:
16 Sep 22
More teaching periods

Swinburne Online

Teaching Period 1 Teaching Period 3

Dates:
14 Mar 22 - 12 Jun 22

Results:
5 Jul 22

Last self enrolment:
27 Mar 22

Census:
8 Apr 22

Last withdraw without fail:
29 Apr 22

Dates:
7 Nov 22 - 5 Feb 23

Results:
28 Feb 23

Last self enrolment:
20 Nov 22

Census:
2 Dec 22

Last withdraw without fail:
23 Dec 22

Prerequisites

50 Credit Points from a Bachelor Degree.

Aims and objectives

This unit covers the management perspective of contemporary data management (particularly big data) issues in an organisational/ business context. Students will be introduced to issues that arise when data is gathered from multiple sources in various formats for many diverse purposes, as well as the relevant managerial, organisational, governance and Information Technology (IT) strategy issues. Students will explore why key aspects of a contemporary data management such as Master Data Management, Cloud storage, Social Media data, Data Warehouses, non-relational databases, Infrastructure as a Service, Platform as a Service and Software as a Service should not be regarded as exclusively techno-centric concepts but also as a business/management consideration.

Students who successfully complete this unit will be able to:
 
1 Demonstrate an understanding of the complexity pertaining data, big data and data lifecycle, which may include data quality, data governance, acquisition & procurement, legal, ethical, risk and security issue
 
2 Analyse and evaluate appropriate data management solutions for specific business needs and requirements
 
3 Demonstrate an understanding of big data management as an enabler of business agility and innovation
 
4 Demonstrate critical thinking, problem solving, and ability to communicate effectively as a professional and function as an effective leader or member of a team