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A course mapper by Monash Association of Coding (MAC)
Big data management and processing
FIT3182
Synopsis
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.
Sourced from the Monash Handbook 2026.
Quick facts
- Credit points
- 6
- Level
- 3
- Audience
- Undergraduate
- Type
- Coursework
- School
- Faculty of Information Technology
- Handbook year
- 2026
Prerequisites (3)
- Algorithms and data structuresFIT2004
- DatabasesFIT2094
- DatabasesFIT3171
What it unlocks
Nothing in the visible graph depends on this unit.
Offerings (1)
- First semesterMalaysia · ON-CAMPUS
Listed in 4 areas of study
- Algorithms and softwareLevel 3 elective unit
- Computational scienceAdvanced computational science electives
- Data scienceLevel 3 elective units
- Software engineeringSoftware engineering technical electives