UML & Data Modeling
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UML & Data Modeling: A Reconciliation

UML & Data Modeling: A Reconciliation


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About the Book

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. This book has two audiences: Data modellers (both analysts and database designers) who are convinced that UML has nothing to do with them; and UML experts who don't realise that architectural data modelling really is different from object modelling (and that the differences are important). David Hay's objective is to finally bring these two groups together in peace. Here all modellers will receive guidance on how to produce a high quality (that is, readable) entity/relationship model to describe the data architecture of an organisation. The notation involved happens to be the one for class models in the Unified Modelling Language, even though UML was originally developed to support object-oriented design. Designers have a different view of the world from those who develop business-oriented conceptual data models, which means that to use UML for architectural modelling requires some adjustments. These adjustments are described in this book. David Hay is the author of "Enterprise Model Patterns: Describing the World", a comprehensive model of a generic enterprise. The diagrams were at various levels of abstraction, and they were all rendered in the slightly modified version of UML Class Diagrams presented here. This book is a handbook to describe how to build models such as these. By way of background, an appendix provides a history of the two groups, revealing the sources of their different attitudes towards the system development process.

About the Author :
Since the early 1980s, David Hay has been a pioneer in the use of process and data models to support strategic planning, requirements analysis, and system design. He has developed enterprise models for many industries, including, among others, pharmaceutical research, oil refining and production, film and television, and nuclear energy. In each case, he found the relatively simple structures hidden in formidably complex situations. He has published several books and numerous articles and he is a frequent speaker at professional society conferences.

Review :
If you are an old-school ER modeler and now find yourself having to come up to speed on UML to get that next job (or keep the current one), this is your guidebook to success. If you are a long time object oriented programmer who has to interact with data modelers, this book is for you too. David has done the hard work of mapping out how to do a logical entity relationship model using standard (and accepted) UML diagram components. This book shows you step-by-step, with ample examples, how to get from here to there with the least pain possible for all concerned. Kent Graziano Certified Data Vault Master and Oracle ACE Past-President of ODTUG & RMOUG Brilliantly organized: three books hidden in one cohesive work. Not withstanding the tremendous value provided by cross-training data architects/modelers and object modelers/architects, making each better at what they do, Appendix B presents an absolutely awesome concise, yet detailed, history of modeling objects and data that clearly documents the differences in the approaches over the years and helps bring it all into perspective. This book is packed with useful information. Even the footnotes add clarity and offer interesting and often humorous editorial insight making it a fun read. Whatever viewpoint the reader is coming from this book has something to offer as long as the reader maintains an open mind. Roland Berg Senior Architect Diligent Consulting, Inc. San Antonio, Texas


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Product Details
  • ISBN-13: 9781935504191
  • Publisher: Technics Publications LLC
  • Publisher Imprint: Technics Publications LLC
  • Height: 180 mm
  • No of Pages: 242
  • Returnable: N
  • Sub Title: A Reconciliation
  • Width: 255 mm
  • ISBN-10: 1935504193
  • Publisher Date: 10 Oct 2011
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Returnable: N
  • Weight: 384 gr


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