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Can I read Data Modeling Essentials (The Morgan Kaufmann Series in Data Management Systems) on EtoBox?
Data Modeling Essentials (The Morgan Kaufmann Series in Data Management Systems) by Graeme C. Simsion; Graham C. Witt is a nonfiction available to read on EtoBox.
What is Data Modeling Essentials (The Morgan Kaufmann Series in Data Management Systems) about?
Simsion and Witt's \_Data Modeling Essentials\_ has been a classic on my data management bookshelf since the first edition. Now in the 3rd Edition, this work has become even more valuable and useful on data management projects. The fact that the authors continue to enhance and expand their work is a real asset. This work is targeted at both students and experienced information technology professionals. ...and, of course, any data modeling book that manages to quote from Led Zeppelin's "Stairway to Heaven", Stephen Covey's \_7 Habits of Highly Effective People\_, Bob Dylan's "Brownsville Girl", and even Jack Kerouac must be a good read, right? Let's start with what I really like about this book: 1) \_Essentials\_ starts at the beginning "What is a Data Model" and works its way through entities, attributes, subtypes, ERDs, normalization and all the basics through to fairly advanced topics such as the use of surrogate keys, transformations, designing for performance, time dependence and advanced normalization. Simsion and Witt make this trek in a balanced and clearly-explained manner. This is no \_...For Dummies\_ type work - it is a true professional level book that consisten
Who reads Data Modeling Essentials (The Morgan Kaufmann Series in Data Management Systems)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Graeme C. Simsion; Graham C. Witt
- Publisher
- Morgan Kaufmann Publishers
- Published
- 2005
- Language
- EN
- ISBN
- 9781592782512
- Category
- nonfiction
- Subjects
- Computer Science, Management, Science
- Rating
- 1 / 5 (1 ratings)
- Updated
- 2026-03-24
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