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 2023 in Semester 2 at Clayton. It needs FIT9132.
- Credit points
- 6
- Offered in 2023
- Semester 2
- Clayton
- Assessment
- No exam
- 5 tasks
- Workload
- 144 hours
- per semester
This is the 2023 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 2023 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 examines advanced database technology. This unit particularly covers three main types of advanced database technologies, including (i) document store, (ii) wide column store, and (iii) graph database. These three systems represent the broad spectrum of NoSQL databases. The underlying theoretical foundations, such as database modelling, transactions, and graph query processing will also be explored.
Offerings in 2023
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Clayton | On campus |
Assessment
- Assignment 1Assignment20%
- Assignment 2Assignment10%
- Assignment 3Assignment30%
- Video presentationPresentation10%
- Assignment 4Assignment30%
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 non-relational database technologies, including NoSQL;
- 7
Construct applications using a graph database system;
Workload and teaching
- Laboratories24 hours
- Seminars24 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
MongoDB, Apache Cassandra, and Neo4j.
Where it fits
FIT5137 is part of 2 areas of study in the 2023 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 2023, 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 5 assessment tasks and no exam.
Which majors and minors include FIT5137?
FIT5137 is part of Computational science and Software engineering.