qData modeling theory and practiceq is for practitioners and academics who have learned the conventions and rules of data modeling and are looking for a deeper understanding of the discipline. The coverage of qtheoryq includes a detailed review of the extensive literature on data modeling and logical database design, referencing nearly 500 publications, with a strong focus on their relevance to practice. The qpracticeq component incorporates the largest-ever study of data modeling practitioners, involving over 450 participants in interviews, surveys and data modeling tasks. The results challenge many long-held assumptions about data modeling and will be of interest to academics and practitioners alike. qData Modeling Theory and Practiceq is essential reading for anyone involved in data modeling practice, research, or teaching. Graeme Simsion brings to the book the practical perspective and intellectual clarity that have made his qData Modeling Essentialsq a classic in the field. He begins with a question about the nature of data modeling (design or description), and uses it to illuminate such issues as the definition of data modeling, its philosophical underpinnings, inputs and deliverables, the necessary behaviors and skills, the role of creativity, product diversity, quality measures, personal styles, and the differences between experts and novices.Graeme Simsion brings to the book the practical perspective and intellectual clarity that have made his aquot;Data Modeling Essentialsaquot; a classic in the field.
|Publisher||:||Technics Publications - 2007|