Data Analysis for Database DesignBy
- David Howe, Professor, formerly at Department of Computing, de Montfort University, UK
Data analysis for database design is a subject of great practical value to systems analysts and designers. This classic text has been updated to include chapters on distributed database systems, query optimisation and object-orientation.The SQL content now includes features of SQL92 and SQL 99.With new databases coming online all the time and the general expansion of the information age, it is increasingly important to ensure that the analysis and model of a database design is accurate and robust. This is an ideal book for helping you to ensure that your database is well designed and therefore user friendly.
Undergraduate and HND/HNC students of computer studies, information technology and information systems.
Paperback, 336 Pages
Published: May 2001
Imprint: Butterworth Heinemann
"... It has the very specific aim of explaining techniques and concepts. It does so from a very practical standpoint by drawing on reasonably small-scale examples. To allow the reader to measure comprehension at each stage selected exercises are provided. The 'answer pointers' at the end of the chapter readily reveal any lack of comprehension... This book is strongly recommended to serious students..... It is able to delve thoroughly into the area of data analysis and model design. " The Computer Journal. (Of the first edition).
- Part 1: Databases and database management systems: Database systems. * Database management system architecture. * Part 2: Relational modelling: Tables. * Redundant vs duplicated data. * Repeating groups. * Determinants and identifiers. * Fully-normalised tables. * Part 3: Entity-relationaship modelling. * Introduction to entity-relationship modelling. * Properties of relationships. * Decomposition of many:many relationships. * Connection traps. * Skeleton entity-relationship models. * Attribute assignment. * First-level design. * Second level design. * Part 4: Further topics. * Distributed database systems. * Relational algebra. * Query optimnisation. * The SQL language. * Object orientation. * Appendix: The Codasyl (network) model.