Synopsis
This text places data modelling alongside functional analysis. The first part of the book deals with information, data, data administration and the purpose for building data models. In the second part, the relational and entity-relationship data models are covered in depth, along with a comprehensive chapter on normalization. This takes readers carefully through to the important, but often ignored, fifth normal form. Strategic data is also covered. One of the features of this book is the use of many examples and an extended, annotated case study. No previous computing knowledge is assumed, and the book is suitable for a first- or second-year course on data modelling for business studies, management or computing students.
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From the Publisher
Includes additional chapters on the latest version of SQL and data dictionary systems
Relates E-R modelling and relational model to other modelling methods such as object-orientation
Non technical and practical approach throughout
Many examples and an extended case study
From the Back Cover
Information and Data Modelling, 2/e begins by considering the nature of information, how it can be produced from data and how it can be managed effectively. It then presents the main modelling methods for information systems, including all the main representations used in the structured methods of analysis and design, placing these alongside the models used in object-oriented systems. After introducing the relational model, SQL is used to illustrate how relational databases can be manipulated. Techniques for designing fully normalized relations are presented before the text deals in detail with the entity relationship (E-R) model a graphically-based technique for database design. Chapter 15 shows how the various models can be used together to represent the information requirements of an organization.
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