Amazon.com: Data Modeling for Everyone (9781590592137): Sharon Allen: Books

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Data Modeling for Everyone [Paperback]

Sharon Allen (Author)
4.0 out of 5 stars  See all reviews (10 customer reviews)


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Book Description

July 2003
Data Modeling is about gathering, documenting, and communicating the elements and structure of business information. What begins as a conceptual interplay of logical data units, through the application of relational theory, becomes the basis for creating a physical database design.

Data Modeling is a core skill for data professionals, and is a full time job for a small but growing number of IT practitioners. It is a crucial stage prior to good quality relational database design.

Data Modeling for Everyone is for those who:

Have no previous data modeling experience
Want to understand the role of the data modeler in database design

Need to know how to capture the essence of a system but don't know where to start
Want more than just the theory and learn best from real world experience
Require a book before other data design books – helping you develop a logical model rather than assuming one exists that needs to be implemented in a database

Data Modeling for Everyone provides a solid foundation in the following tools & techniques:

The different types of data modeling – enterprise, transactional, and dimensional
The stages of analysis – developing conceptual, logical, and physical models
What to do if you need to work with existing systems – reverse engineering and forensic analysis
General principles for converting logical models to physical ones
Modeling scope – focusing on what's important but allowing for future development of your model
Defining detail – entity relationship (E/R), key based, and fully attributed models
Documenting your understanding of the business in the model
Graphical data modeling, focusing on the IDEF1X notation

--This text refers to an out of print or unavailable edition of this title.

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Product Details

  • Paperback: 501 pages
  • Publisher: Curlingstones (July 2003)
  • Language: English
  • ISBN-10: 1590592131
  • ISBN-13: 978-1590592137
  • Product Dimensions: 9 x 7.3 x 1.1 inches
  • Shipping Weight: 1.9 pounds
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (10 customer reviews)
  • Amazon Best Sellers Rank: #2,676,950 in Books (See Top 100 in Books)

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Customer Reviews

10 Reviews
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4 star:
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3 star:
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Average Customer Review
4.0 out of 5 stars (10 customer reviews)
 
 
 
 
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4 of 4 people found the following review helpful:
2.0 out of 5 stars Bad effort., February 27, 2003
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As I was reviewing this book for a class I was teaching on the subject, I could'nt help but think the author's effort was rushed. This book would be good for someone with a strong data modeling background who wants a new perspective. It is a poor choice for novices to the field. Explanations are lacking in clarity. Book is poorly organized. Check out Inside Relational Databases, Whithorn.
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5 of 6 people found the following review helpful:
4.0 out of 5 stars A comprehensive introduction into Data Modeling, November 24, 2002
I find that Data Modeling is one of those topics that requires half a dozen books because different authors present it from different perspectives. Some explain some topics well, but not others.

This book is one of the half dozen that you would want to collect, particularly if you are new to modeling or uncertain whether you want to become a modeler.

You get a good overview presented in a simple to follow manner; its really a good foundation book that will open your eyes to what modeling is all about.

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2 of 2 people found the following review helpful:
4.0 out of 5 stars Wonderful book full of nuggets., June 8, 2004
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I have been working with databases for over seven years but always enjoy reading books about data. That is, not how to do this or that in SQL Server or Oracle etc., but better ways on understanding the foundation of any database project, namely, the entities or data we are creating the application around.

This book strikes a nice balance between the Joe Celko books, which are great, but a little over the top and the Database design for Mere Mortals by Hernandez which is good for a complete beginner who wants to learn how to make databases in MS Access.

To recap, if you are looking for a book that tells you how to build a specific database, look elsewhere. However, if you are looking for a book that will train your mind in better ways to see how the person,place or thing we model evolves into a physical database, then this book is for you.

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