INF20016 · Swinburne University of Technology
Big Data Management
- Credit points
- 12.5
- Level
- 2
- Workload
- ≈ 13 h / week
- Faculty
- Business
What it covers
This unit examines contemporary data management from a managerial perspective, addressing the challenges of handling diverse and large-scale data in organisational contexts. Students will explore data governance, ethics, data quality, and lifecycle management, alongside cloud computing models and sourcing strategies. Emphasis is placed on leveraging business intelligence and analytics to derive data-driven insights and foresights. Key technologies, such as data warehouses, data lakes, Master Data Management, and emerging solutions such as Artificial Intelligence and Machine Learning, are considered not only as technical tools but as strategic enablers of innovation, agility, and responsible decision-making in the era of big data.
Assessment
Assessment not published yet.
When and where
| Teaching period | Campus | Mode |
|---|---|---|
| Semester 2 | Hawthorn | On campus |
| Teaching Period 3 | Online | Online |
| Semester 1 | Hawthorn | On campus |