FIT3182 · Monash University
Big data management and processing
- Credit points
- 6
- Level
- 3
- Workload
- ≈ 12 h / week
- Faculty
- Information Technology
What it covers
Data engineering is about developing the software (and hardware) infrastructure to support data science. This unit introduces software tools and techniques for data engineering, but not hardware. It will cover an introduction to big data processing, covering volume, variety, and velocity; large volume data processing using parallel technologies; variety data formats, including unstructured and semi-structured data, using NoSQL databases; and velocity data processing, covering data streaming.
Assessment
| Task | Type | Weight |
|---|---|---|
| Assignment-2 | Artefact | 20% |
| Assignment-1B | Demonstration | 5% |
| Assignment-1 | Artefact | 15% |
| Assignment-2B | Demonstration | 10% |
| Assignment-3 | Presentation | 10% |
| In class tests | Quiz / Test | 40% |
When and where
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Malaysia | On-campus |