Developing High Quality Data Models (Paperback)
  • Developing High Quality Data Models (Paperback)

Developing High Quality Data Models (Paperback)

Paperback 408 Pages / Published: 07/02/2011
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Developing High Quality Data Models provides an introduction to the key principles of data modeling. It explains the purpose of data models in both developing an Enterprise Architecture and in supporting Information Quality; common problems in data model development; and how to develop high quality data models, in particular conceptual, integration, and enterprise data models. The book is organized into four parts. Part 1 provides an overview of data models and data modeling including the basics of data model notation; types and uses of data models; and the place of data models in enterprise architecture. Part 2 introduces some general principles for data models, including principles for developing ontologically based data models; and applications of the principles for attributes, relationship types, and entity types. Part 3 presents an ontological framework for developing consistent data models. Part 4 provides the full data model that has been in development throughout the book. The model was created using Jotne EPM Technologys EDMVisualExpress data modeling tool. This book was designed for all types of modelers: from those who understand data modeling basics but are just starting to learn about data modeling in practice, through to experienced data modelers seeking to expand their knowledge and skills and solve some of the more challenging problems of data modeling.

Publisher: Elsevier Science & Technology
ISBN: 9780123751065
Number of pages: 408
Weight: 710 g
Dimensions: 235 x 191 x 23 mm

"This book deals with an emerging topic of interest to a large sector of the data modeling community. There is a strong need to explain the development of a generic approach to practitioners in the data modeling community - and this book addresses that need. -- Chris Partridge, Chief Ontologist, BORO Solutions (UK) (Business Object Reference Ontology) "I expect that application developers will find this book of interest, particularly if they want to grow professionally."--Fred Cummins, Fellow, Hewlett-Packard Enterprise Services

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