FIT5202 · Monash University
Data processing for big data
- Credit points
- 6
- Level
- 5
- Workload
- ≈ 12 h / week
- Faculty
- Information Technology
What it covers
This unit focuses on big data processing, including volume, complexity, and velocity using the latest big data technologies. In big data volume, it covers large volume data processing using parallel technologies. In large dimensionality (or complexity), it covers various data analytics methods for parallel processing. For the velocity, it covers data streaming processing.
Assessment
| Task | Type | Weight |
|---|---|---|
| Assignment 2 | Project | 30% |
| Scheduled Final assessment | Examination | 45% |
| Lab tasks | Exercise | 5% |
| Quiz | Quiz / Test | 5% |
| Assignment 1 | Project | 15% |
When and where
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | On-campus |
| Second semester | Clayton | Flexible |
| Malaysia | Evening |