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Unit of study_
OCMP5338: Advanced Data Models
2025 unit information
This unit of study gives a comprehensive overview of post-relational data models and of latest developments in data storage technology. Particular emphasis is put on spatial, temporal, and NoSQL data storage. This unit extensively covers the advanced features of SQL:2003, as well as a few dominant NoSQL storage technologies. Besides in lectures, the advanced topics will be also studied with prescribed readings of database research publications.
Unit details and rules
Managing faculty or University school:
Engineering
| Study level | Postgraduate |
|---|---|
| Academic unit | Computer Science |
| Credit points | 6 |
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Prerequisites:
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None |
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Corequisites:
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None |
| Prohibitions:
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COMP5338 or COMP4338 |
| Assumed knowledge:
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This unit of study assumes foundational knowledge of relational database systems as taught in COMP5138/COMP9120 (Database Management Systems) or INFO2120/INFO2820/ISYS2120 (Database Systems 1) |
At the completion of this unit, you should be able to:
- LO1. Understand various NoSQL data models including document model, graph model, key-value data model, spatial model and temporal data models
- LO2. Write simple CRUD queries and implement aggregation in MongoDB and Neo4j
- LO3. Understand the Index mechanisms in various database systems
- LO4. Analyse and tune the query performance in MongoDB and Neo4j
- LO5. Understand key issues such as partition, replication and fault tolerance in distributed database systems.
- LO6. Understand physical storage and their impacts on query performance
Unit availability
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 1a 2024
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Online | Online Program | |
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Semester 2a 2024
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Online | Online Program |
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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PG Online Session 1A 2025
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Online | Online Program |
Outline unavailable
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PG Online Session 2A 2025
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Online | Online Program |
Outline unavailable
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Modes of attendance (MoA)
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