FIT5137 · Advanced database technology

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

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

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

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.

Student experience, not official rules. Nothing here changes what the Handbook says.