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Tuesday, 12 March 2013

UML and Data Modeling

Posted on 12:39 by Unknown
UML and Data Modeling
Author: David C. Hay
Edition: First
Binding: Paperback
ISBN: 1935504193
Publisher: Technics Publications, LLC

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UML and Data Modeling: A Reconciliation



Here you will learn how to develop an attractive, easily readable, conceptual, business-oriented entity/relationship model, using a variation on the UML Class Model notation.
Store Search search Title, ISBN and Author UML and Data Modeling: A Reconciliation by David C. Hay Estimated delivery 4-14 business days Format Paperback Condition Brand New Author Biography Hay has been developing interactive, database-oriented systems since the days of punched cards, paper tape, and teletype machines. He is president of Essential Strategies, Inc., a Houston, Texas-based world-wide consultancy that uses modeling techniques to help construct information strategies and architect
This book has two audiences: Data modelers (both analysts and database designers) who are convinced that UML has nothing to do with them; and UML experts who don't realize that architectural data modeling really is different from object modeling (and that the differences are important). David Hay's objective is to finally bring these two groups together in peace. Here all modelers will receive guidance on how to produce a high quality (that is, readable) entity/relationship model to describe the data architecture of an organization. The notation in

Enterprise Model Patterns: Describing the World (UML Version)


This book teaches you how to capture and communicate both the abstract and concrete building blocks of your organization's data, in order to provide a coherent and comprehensive foundation for sys

Patterns of Data Modeling (Emerging Directions in Database Systems and Applications)


Best-selling author and database expert with more than 25 years of experience modeling application and enterprise data, Dr. Michael Blaha provides tried and tested data model patterns, to help readers

Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems)


In recent years, companies and government agencies have come to realize that the data they use represent a significant corporate resource, whose cost calls for management every bit as rigorous as the

The Data Model Resource Book, Vol. 3: Universal Patterns for Data Modeling


This third volume of the best-selling "Data Model Resource Book" series revolutionizes the data modeling discipline by answering the question "How can you save significant time while improving the qua

Data Model Patterns


Learning the basics of a modeling technique is not the same as learning how to use and apply it. To develop a data model of an organization is to gain insights into its nature that do not come easily.

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