1. Advanced Databases
CSD305

2. Aims of this module
To underpin knowledge of Entity Relationship Modelling, RDBMS and Structured Query Language
To develop knowledge and skills in further concepts associated with RDBMS such as transactions, concurrency control, recovery and security and Relational Algebra
To provide experience of a variety of database architectures and apply this knowledge to DBMS selection according to application requirements
Explore advanced aspects of data warehousing, distributed data, and evaluate the adoption of these systems to aid business intelligence practices for business advantage
CSD305 Advanced Databases

3. What will you learn?
LO1 choose appropriate database technology to support a range of business requirements
LO2 Critically evaluate the adoption/use of data warehouse systems and business intelligence practices for achieving organisational benefits.
LO3 Argue the emerging means of achieving database interoperability and argue the issues and trade-offs concerned with the distribution of data
LO4 exploit enterprise data to gather business intelligence
CSD305 Advanced Databases

4. Assessment Two elements to the assessment of the module
Coursework (60%) LO1 and LO4
CSD305 Advanced Databases

5. Resources
Main text
Database Systems by Connolly and Begg (at least 4th edition)
others
Steinbach & Kumar. Introduction to Data Mining. Addison Wesley
Larson B. Delivering Business Intelligence with SQL Server.
McGraw-Hill
Hellerstein & Stonebreaker (eds). Readings in Database Systems.
MIT Press
Chaudri. XML Data Management. Addison Wesley
The module is supported by resources on: Turing VLE and the course website
CSD305 Advanced Databases