Advances in Data Management
This module examines the technologies underlying modern data management systems. It studies advanced aspects of query processing, transaction management, distributed data management, and recent developments in web data, "big data" and alternative database architectures.
To study advanced aspects of databases and recent advances in data management technologies in three major directions: performance, distribution of data, and heterogeneity of data.
- Review of the fundamental principles of database management systems, relational databases and SQL.
- Query processing and query optimisation.
- Transaction management: ACID properties, concurrency control, recovery.
- Beyond records and objects: stored procedures and functions, triggers, semantic technologies.
- Distributed databases: data fragmentation and replication, distributed query processing, distributed transaction management.
- Heterogeneous data integration.
- XML data management.
- Linked Open Data.
- Parallel databases.
- Big data and NoSQL/NewSQL stores.
- Graph databases.
A first module in Database Systems (e.g. as taught in a typical U.K. undergraduate degree in computer science).
All dates and timetables are listed in the programme handbooks of individual programmes.
Several pieces of coursework will be set during the module.
By 2-hour written examination and coursework, weighted at 90% and 10% respectively.
- R.Ramakrishnan and J.Gehrke, Database Management Systems, McGraw-Hill 2003 (3rd Edition)
- A.Silberschatz, H.F.Korth and S.Sudarshan, Database System Concepts, McGraw-Hill 2011 (6th Edition)
- M.T.Oszu and P.Valduriez, Principles of Distributed Database Systems, Springer, 2011 (3rd Edition)
- A.Elmagarmid, M.Rusinkiewicz and A.Sheth (eds), Management of Heterogeneous and Autonomous Database Systems, Morgan Kaufmann, 1999
- Research papers will be distributed to students; students will also be directed to Web resources on the subject.