Advanced Databases CSD305

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

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

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

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 https://degreesbythesea.co.uk/category/csd305advanceddatabases/ CSD305 Advanced Databases