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