FIT5137 Advanced database technology
Faculty of Information Technology
FIT5137 Advanced database technology is a level 5, 6-credit-point, postgraduate unit from the Faculty of Information Technology, offered in 2026 in Semester 2 at Clayton. It needs FIT9132.
- Credit points
- 6
- Offered in 2026
- Semester 2
- Clayton
- Assessment
- No exam
- 4 tasks
- Workload
- 144 hours
- per semester
This is the 2026 handbook entry. See the 2027 entry.
Reviews
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Requisites
Before FIT5137
Prerequisites
Pass these before you enrol.
After FIT5137
No unit lists FIT5137 as a prerequisite in the 2026 handbook.
Enrolment rules
Prerequisites:
For students enrolled in E3001, E3002, E3005, E3010, E3011, E3007 completing the Software Engineering specialisation: FIT3171.
Knowledge of relational database principles, including SQL.
Overview
This unit explores advanced database technologies, focusing on two key technologies: (i) Data Engineering, covering data transformation, cleaning, data warehouse architecture, and efficient design and querying for analytical tasks. (ii) Emerging Database Technologies, including introducing geospatial data, geospatial DBMS features, spatial data modelling, indexing, querying, and visualization techniques.
Offerings in 2026
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Clayton | Flexible |
Assessment
- Assessment 1Quiz / Test10%
- Assessment 2Artefact40%
- Assessment 3Artefact35%
- Assessment 4Quiz / Test15%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Learning outcomes
When you finish this unit, you should be able to:
- 1
Explain the concepts of data engineering;
- 2
Understand data preparation and transformation for data engineering;
- 3
Compare and contrast various map database technologies;
- 4
Demonstrate map database processing;
- 5
Implement map-based database systems;
- 6
Describe various types of emerging database technologies;
- 7
Construct advanced and secure database applications
Workload and teaching
- Seminars24 hours
- Laboratories24 hours
- Teaching approachActive learning
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.
Learning resources
Technology resources
Oracle database, Docker, PostGIS, QGIS
Where it fits
FIT5137 is part of 2 areas of study in the 2026 handbook.
Contacts
- Chief Examiners
- Associate Professor David Taniar
Common questions
What are the prerequisites for FIT5137?
You need FIT9132 before you enrol. Enrolment rules also apply.
When is FIT5137 offered?
In 2026, FIT5137 runs in Semester 2 at Clayton.
How much work is FIT5137?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does FIT5137 have an exam?
No. FIT5137 has 4 assessment tasks and no exam.
Which majors and minors include FIT5137?
FIT5137 is part of Computational science and Software engineering.