Overview

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

Requisites

Prerequisites
INF20016 Big Data Management

Rule for INF20016

50 credit points

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 2
Location
Hawthorn
Start and end dates
29-July-2024
27-October-2024
Last self-enrolment date
11-August-2024
Census date
31-August-2024
Last withdraw without fail date
13-September-2024
Results released date
03-December-2024
Teaching Period 3
Location
Online
Start and end dates
04-November-2024
09-February-2025
Last self-enrolment date
17-November-2024
Census date
29-November-2024
Last withdraw without fail date
27-December-2024
Results released date
04-March-2025

Learning outcomes

Students who successfully complete this unit will be able to:

  • 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
  • Analyse and evaluate appropriate data management solutions for specific business needs and requirements
  • Demonstrate an understanding of big data management as an enabler of business agility and innovation
  • Demonstrate critical thinking, problem solving, and ability to communicate effectively as a professional and function as an effective leader or member of a team

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
On-campus
Class
2.00 12 weeks 24
Online
Lecture
1.00 12 weeks 12
Unspecified Activities
Independent Learning
9.50 12 weeks 114
TOTAL150

OUA and Swinburne Online

Type Hours per week Number of weeks Total (number of hours)
Online
Directed Online Learning and Independent Learning
12.50 12 weeks 150
TOTAL150

Assessment

Type Task Weighting ULO's
PortfolioIndividual 60 - 80% 1,2,3,4 
PortfolioGroup 20 - 40% 1,2,3,4 

Content

  • Contemporary issues in Data management
  • Big Data, structured (records) vs unstructured (free-text) (may use open data, web crawler/scraping, SM feeds), Data Warehouse, Data Mart
  • DB Storage, Cloud Storage, Master Data Management etc.
  • Enterprise data life cycle, data governance
  • Infrastructure and Architecture
  • Data quality, relevance, data relationships (and/or relationships between datasets), value of data
  • Cloud-based Data/Database service providers & models (i.e., IaaS)
  • Sourcing & acquisitions of services, SLAs
  •  “Other issues”: legal, ethical, security 

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.