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Beginning Relational Data Modeling 2ND Edition
by Sharon Allen

Beginning Relational Data Modeling 2ND Edition Cover

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Synopses & Reviews

Publisher Comments:

Data storage design, and awareness of how data needs to be utilized within an organization, is of prime importance in ensuring that company data systems work efficiently. Beginning Relational Data Modeling will lead you step by step through the process of developing an effective logical data model for your relational database model. No previous data modeling experience is required. If you need to know how to capture the information needs of a business system in a relational database model, but dont know where to start, then this is the book for you.

Book News Annotation:

Previously published as Data modeling for everyone, this book introduces Integration Definition (IDEF1X) notation syntax, and walks through the process of defining conceptual, logical, and physical data models for database design. A running case study models the data and functions of the card game solitaire as it transforms into a computer version.
Annotation ©2006 Book News, Inc., Portland, OR (booknews.com)

Book News Annotation:

Previously published as Data modeling for everyone, this book introduces Integration Definition (IDEF1X) notation syntax, and walks through the process of defining conceptual, logical, and physical data models for database design. A running case study models the data and functions of the card game solitaire as it transforms into a computer version. Annotation ©2006 Book News, Inc., Portland, OR (booknews.com)

Synopsis:

"Data Modeling" leads readers step by step through the process of developing an effective logical data model for their relational databases. No previous data modeling experience is even required. Author Sharon Allen infuses concise, straightforward wisdom to explain a usually complex, jargon-filled discipline.
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Table of Contents

Chapter 1: Data Modeling: An Overview

Chapter 2: Relational Modeling

Chapter 3: Introduction to Relational Theory

Chapter 4: Level of Analysis

Chapter 5: How Data Models Fit into Projects

Chapter 6: Building a Conceptual Model

Chapter 7: Building a Logical Model

Chapter 8: Transformation - Logical to Physical

Chapter 9: Designing Only a Physical Model

Chapter 10: Dimensional Data Modeling

Chapter 11: Reverse Enigneering a Data Model

Chapter 12: Communication with the Model

Chapter 13: Further Data Analysis

Chapter 14: Meta Data Modeling

Chapter 15: Data Modeling Working Practices

App A:Glossary Of  Terms

App B: Symbology Comparison

App C: References

 

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Product Details

ISBN:
9781590594636
Author:
Allen, Sharon
Publisher:
Apress
Author:
Terry, Evan
Subject:
Data structures (computer science)
Subject:
Database Management - General
Subject:
Relational databases
Subject:
Data Modeling & Design
Subject:
Miscellaneous Software
Copyright:
2005
Edition Number:
2
Publication Date:
March 2005
Binding:
Paperback
Language:
English
Illustrations:
Y
Pages:
604
Dimensions:
9.46x6.96x1.25 in. 2.14 lbs.
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