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Data Modeling Made Simple: A Practical Guide for Business & IT Professionals
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- Ever have a bad data day? If you're a business user, architect, analyst, designer or developer, then you've probably had some bad data days. It comes with the territory. Overcoming these problems is much easier if you have an in-depth understanding of the actual data. That's where a data model comes in handy. It's a diagram that uses text and symbols to represent groupings of data, giving you a clear picture of your business and application environment. Data Modeling Made Simple provides the tools you need to read, create and validate models of your business and applications. This book contains everything about modeling you need to know but were too afraid to ask, such as: - What are the traditional and nontraditional uses of a data model? - How do subject area, logical, and physical data models differ? - When do I build a BSAM, ASAM, or CSAM? - What is the easiest way to apply normalization? - Where can I best leverage abstraction? - How do I decide whether to use denormalization or dimensionality? - What are primary, foreign, alternate, virtual, and surrogate keys? - What is the best approach to building the models? - How can I use the Scorecard system to validate a data model? Plus over 30 exercises to reinforce concepts and sharpen your skills!Reviews:What a great book—and a fun read too! Steve has captured the essence of data modeling and made it simple. For those who are not data modelers but need to work with them, this book is an excellent primer. For those who model data occasionally but not routinely, it is an invaluable quick reference. And for those of us who are experienced (and incorrigible) data modelers, Data Modeling Made Simple is a terrific reminder that we really can keep it simple!David Wells, Director of Education, Data Warehousing InstituteAn excellent introduction from someone who knows his subject and knows how to teach it Graeme Simsion, University of Melbourne“Data Modeling Made Simple is a must read for all professionals new to data modeling as well as those that want to ‘speak the language’ and understand the concepts. Steve writes as though he is right there with you, walking you through the terminology, explaining the symbols, and telling you what you should consider doing before, during and after you have modeled your data.”Robert S. Seiner, President, KIK Consulting & Educational Services, LLC and Publisher of The Data Administration Newsletter, tdan.com“Data Modeling Made Simple is an excellent training guide for anyone entering the data modeling field. Steve Hoberman takes the fundamental concepts of data modeling and presents them in an easy to understand and entertaining manner that I’m sure you will find valuable.” David Marco, President, EWSolutions“How does one who is not a formally trained ‘data modeler’ understand the basics of data modeling? Steve Hoberman has created an informative, fun, easy to follow, and practical book sharing data modeling concepts which are essential for any professional involved in information technology. Mr. Hoberman clearly answers key questions behind the what, why and how of data modeling and reinforces the explanations with appropriate examples, analogies and exercises.” Len Silverston, Best-Selling Author of The Data Model Resource Book, Volumes 1 and 2
| Publisher | Technics Pubns Llc |
| Publication date | October 17, 2005 |
| Language | English |
| Print length | 134 pages |
| ISBN-10 | 0977140008 |
| ISBN-13 | 978-0977140008 |
| Item Weight | 11.2 ounces (317.52 grams) |
| Dimensions | 6.75 x 0.25 x 9.5 inches (17.1 x 0.6 x 24.1 cm) |
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Structured Design Editorial Review
Data Modeling Made Simple is a concise and practical guide to data modeling. The book provides high-level concepts and explanations of common data modeling concerns and methods. It is recommended for new developers who need an introduction to data modeling and for mid-level and senior developers looking to improve their understanding of data modeling. While the book is a good introduction, it does not go into the intricacies of mathematical logic or database theory.
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Pros
- Clear and easy-to-understand explanations
- Provides high-level concepts and explanations of common data modeling concerns
- Good introduction for new developers
- Useful as a quick reference guide
Cons
- Does not cover mathematical logic or database theory in depth
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