Big Data Management
Duration
- One Semester or equivalent
Contact hours
- 24 hours face to face + blended
On-campus unit delivery combines face-to-face and digital learning.
2023 teaching periods
Hawthorn Higher Ed. Semester 2 |
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Dates: Results: Last self enrolment: Census: Last withdraw without fail: |
Swinburne Online Teaching Period 2 |
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Dates: Results: Last self enrolment: Census: Last withdraw without fail: |
Prerequisites
Aims and objectives
Unit information in detail
- Teaching methods, assessment and content.
Teaching methods
Type | Hours per week | Number of Weeks | Total |
On Campus Class (Computer Lab) | 2 | 12 | 24 |
Online (asynchronous) Lecture | 1 | 12 | 12 |
Unspecified Activities Independent Learning | 9.5 | 12 | 114 |
TOTAL | 150 hours |
Swinburne Online and OUA
Type | Hours per week | Number of Weeks | Total |
Online Directed Online Activities | 12.5 | 12 | 150 |
TOTAL | 150 hours |
Assessment
Types | Individual/Group Role | Weighting | Unit Learning Outcomes (ULOs) |
Portfolio | Individual | 60-80% | 1,2,3,4 |
Portfolio | Group | 20-40% | 1,2,3,4 |
Content
• 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.