Big Data Management
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
50 credit points
09-February-2025
02-November-2025
08-February-2026
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 |
| TOTAL | 150 |
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 |
| TOTAL | 150 |
Assessment
| Type | Task | Weighting | ULO's |
|---|---|---|---|
| Portfolio | Individual | 60 - 80% | 1,2,3,4 |
| Portfolio | Group | 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 issuesâ€: legal, ethical, securityÂ
Study resources
Reading materials
A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.