Useful links
Unit of study_
COMP5338: Advanced Data Models
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.
| Code | COMP5338 |
|---|---|
| Academic unit | Computer Science |
| Credit points | 6 |
|
Prerequisites:
?
|
None |
|---|---|
|
Corequisites:
?
|
None |
| Prohibitions:
?
|
COMP4338 OR OCMP5338 |
| Assumed knowledge:
?
|
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. At the completion of this unit, you should understand various NoSQL data model including document store, key-value data model, spatial model, time series data models and more
- LO2. At the completion of this unit, you should be able to write simple CRUD queries and implement aggregation in MongoDB and Neo4j.
- LO3. At the completion of this unit, you should understand the index mechanisms in various database systems.
- LO4. At the completion of this unit, you should be able to analyse and tune the query performance for MongoDB and Neo4j.
- LO5. At the completion of this unit, you should understand key issues such as partition, replication and fault tolerance in distributed database systems.
- LO6. At the completion of this unit, you should understand physical storage and their impacts on query performance
Unit outlines
Unit outlines will be available 1 week before the first day of teaching for the relevant session.
- Semester 2, 2023 [Normal evening] - Camperdown/Darlington, Sydney
- Key dates
Key dates through the academic year, including teaching periods, census, payment deadlines and exams.
- Student administration
Enrolment, course planning, fees, graduation, support services, student IT
- Expectations of student conduct
Code of Conduct for Students, Conditions of Enrollment, University Privacy Statement, Academic Integrity
- Academic appeals
Academic appeals process, special consideration, rules and guidelines, advice and support
- Learning and teaching policy
Policy register, policy search
- Financial support
Scholarships, interest free loans, bursaries, money management
- Study resources
Learning Centre, faculty and school programs, Library, online resources
- Health and support
Student Centre, counselling & psychological services, University Health Service, general health and wellbeing
