Ebook Information Modeling and Relational Databases: From Conceptual Analysis to Logical Design (The Morgan Kaufmann Series in Data Management Systems)

Ebook Information Modeling and Relational Databases: From Conceptual Analysis to Logical Design (The Morgan Kaufmann Series in Data Management Systems)

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Information Modeling and Relational Databases: From Conceptual Analysis to Logical Design (The Morgan Kaufmann Series in Data Management Systems)

Ebook Information Modeling and Relational Databases: From Conceptual Analysis to Logical Design (The Morgan Kaufmann Series in Data Management Systems)

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From Library Journal

The information revolution is in motion, and sound database design will drive the ease of data handling and, in turn, improve the results of business practices. A timely topic, then, is Object-Role Modeling (ORM), a way to design and query databases via an application written in lay terms. Halpin expertly explains ORM as well as other solid database design practices so that even seasoned pros will learn something new. Designers, programmers, systems analysts, and managers will discover everything they need to know about database design. Complete with a companion web site, this is highly recommended for libraries serving techies. Copyright 2001 Reed Business Information, Inc.

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From the Back Cover

Information Modeling and Relational Databases provides an introduction to ORM (Object Role Modeling)-and much more. In fact, it's the only book to go beyond introductory coverage and provide all of the in-depth instruction you need to transform knowledge from domain experts into a sound database design.Inside, ORM authority Terry Halpin blends conceptual information with practical instruction that will let you begin using ORM effectively as soon as possible. Supported by examples, exercises, and useful background information, his step-by-step approach teaches you to develop a natural-language-based ORM model and then, where needed, abstract ER and UML models from it. This book will quickly make you proficient in the modeling technique that is proving vital to the development of accurate and efficient databases that best meet real business objectives.FeaturesThe most in-depth coverage of Object Role Modeling available anywhere-written by a pioneer in the development of ORM.Provides additional coverage of Entity Relationship (ER) modeling and the Unified Modeling Language-all from an ORM perspective.Intended for anyone with a stake in the accuracy and efficacy of databases: systems analysts, information modelers, database designers and administrators, instructors, managers, and programmers.Explains and illustrates required concepts from mathematics and set theory.Via a companion Web site, provides answers to exercises, appendices covering the history of computer generations, subtype matrices, and advanced SQL queries, and links to downloadable ORM tools.

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Product details

Series: The Morgan Kaufmann Series in Data Management Systems

Paperback: 761 pages

Publisher: Morgan Kaufmann; 1 edition (April 16, 2001)

Language: English

ISBN-10: 1558606726

ISBN-13: 978-1558606722

Product Dimensions:

7.3 x 1.8 x 9.3 inches

Shipping Weight: 3 pounds (View shipping rates and policies)

Average Customer Review:

4.1 out of 5 stars

11 customer reviews

Amazon Best Sellers Rank:

#913,650 in Books (See Top 100 in Books)

Firstly I am a medical practitioner (a radiation oncologist) with an interest in Informatics. My reason for reading this book is to discover a way to accurately represent my medical specialty's expert domain knowledge. Most methods leave me sad. Frankly I can't verify that an OWL ontology is correct because I cannot see the nuance of relationship that I know is there. And if I as a domain expert can't tell if the ontology is correct, how can anyone else?ORM is underrated compared to the "Semantic Web" technologies, but has the advantage of being verifiable by domain experts in the 'Universe of Discourse' phase. In the medical domain, this ability is imperative because medical analysts (business analysts with specific medical specialty knowledge) are like hen's teeth. Requirements gathering clearly does not meet the needs of the complex medical domain as evidenced by the software available (it is a ludicrous idea that a medical specialty which takes years to learn can have its requirements specified in a matter of hours, and be intelligible to a group who have no medical training at all). Some big features can be modelled but not the intricacies of the domain.To the authors credit, the presence, capabilities and deficiencies of other representation methods with examples are presented to demonstrate that ORM has a particular advantage in certain situations. In particular, the use of plain english statements to represent the facts and relationships of expert domain knowledge allows for verification.Whether this fulfils its promise remains to be seen, but ORM might just be the right horse for this course.

Excellent book! But, if it had been available at the time, I would have purchased the Second Edition of this book coauthored with Tony Morgan. The diagramming style has changed somewhat, and the Second Edition covers this new style. Nevertheless, the original edition covers the concepts clearly and elegantly. I have worked with Object Role Modeling (ORM) for many years, and this book helped in clarifying some of the more abstract, confusing areas. I highly recommend the book!

This is a book of Database Modeling Strategy. It compares Object Role Modeling (ORM, >FORML), Universal Modeling Language (UML) and the more popular Entity Relationship Modeling (ER) and then shows a blended strategy appointing strengths and areas of usefullness for all three. Fair to be sure, but fairly Academic Language. That is, this is as much a book for establishing a justification of ORM and a strategy for it's use as a basic manual. Definately, not for the Novice Data Modeler even though ORM is well suited for the Novice. For the experienced I give it 5 Stars, but as the only published manual for ORM I give it 3 stars. If you are an Accomplished Data Modeler this is for you.If you are a novice you may profit more by starting with the Documents that you can download for free with the VisioModeler Download. Start with the "FORML" (Formal Object Role Modeling Language) Document. Also be sure to visit the ORM site and download the answers to the odd excercise questions.

This book is a masterpiece. ORM as a concept is so powerful. I have been doing Software Design for about 6 years now, and I always felt that there was a conceptual gap between writing use cases and doing software analysis and design from them. It needed an experienced designer in order to make a jump from use cases to analysis & design. (Even then the business facts would be missed out or simply be wrong, that would show up as bugs later on). I was on the lookout for "something" that helps me in real "industrial strength" software. ORM's fact oriention is a real supplement (and enhancement) to object orientation.

After having used ER modeling with extreme frustration, I finally decided to investigate something new. This is the bible for ORM, and ORM is just so far superior to ER for conceptual modeling, which I now realize is critical.Conceptual modeling means modeling your data in a way that makes sense to everyone, from the business experts (who know nothing about databases) to the coders and DBA's. And ORM provides a logical, intuitive way to do this.Once you've got a conceptual model, it's pretty straightforward to get an ER model, from which you can develop the logical databased design. In fact, MS Visio (forget which version) does this for you.The reason ER fails is that it cannot model data in a stable way. It still has a place, but ORM is so much more powerful, scalable, and stable.And not only will you learn about ORM (he has great exercises to help practice), but you will learn a lot about data in general.This is the best technical/developer/software engineering book I have ever read.

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Information Modeling and Relational Databases: From Conceptual Analysis to Logical Design (The Morgan Kaufmann Series in Data Management Systems) PDF

Information Modeling and Relational Databases: From Conceptual Analysis to Logical Design (The Morgan Kaufmann Series in Data Management Systems) PDF

Information Modeling and Relational Databases: From Conceptual Analysis to Logical Design (The Morgan Kaufmann Series in Data Management Systems) PDF

Information Modeling and Relational Databases: From Conceptual Analysis to Logical Design (The Morgan Kaufmann Series in Data Management Systems) PDF