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Many applications require access to very large amounts of data. These applications often require reliability (data must not be lost even in the presence of hardware failures), and the ability to retrieve and process the data very efficiently.
The subject will cover the technologies used in advanced database systems. Topics covered will include: transactions, including concurrency, reliability (the ACID properties) and performance; and indexing of both structured and unstructured data. The subject will also cover additional topics such as: uncertain data; Xquery; the Semantic Web and the Resource Description Framework; dataspaces and data provenance; datacentres; and data archiving.
- Introduction to High Performance Database Systems
- Issues of Performance and Reliability
- Transaction Processing
- Recovery from Failures
- Map Reduce Models.
Intended learning outcomes
INTENDED LEARNING OUTCOMES (ILO)
On completion of this subject the student is expected to:
- Understand issues related performance and reliability in building applications involving large-scale database systems
- Understand Database Technologies used in large-scale applications such as Google search Engines
- Understand the concepts and technologies underpinning new forms of Web data
- Deep knowledge of transaction processing and recovery from failures and concepts employed in modern database systems
On completion of the subject the student should have the following skills:
- Ability to undertake problem identification, formulation, and solution
- Ability to utilise a systems approach to complex problems and to design and operational performance
- Ability to manage information and documentation
- Capacity for creativity and innovation
- Ability to communicate effectively, with the engineering team and with the community at large.
Last updated: 6 December 2019