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The Data Model Resource Book: A Library of Universal Data Models by Industry Types, Volume 2 (Englisch) Taschenbuch – 9. April 2001

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"I thought the models in the books were well thought out and adequately explained." (Computer Shopper, February 2002)


"In addition to being an excellent resource for data modelers, this book will help managers, business analysts and architects gain a high level understanding of various industries and integration challenges facing IT professionals. Len's concepts, insights and models provide a valuable contribution to data architecture."--Regina Pieper Enterprise Architect, Sun Microsystems
"Len Silverston has produced an enormously useful two-volume compendium of generic (but not too generic) data models for an extensive set of typical enterprise subject areas, and for various industries that any data modeler will likely encounter at some point in his or her career. The material is clearly written, well organized, and goes below the obvious to some of the more perverse and difficult information requirements in an enterprise. This is an invaluable resource for doing one's homework before diving into any modeling session; if you can't find it here, there is certainly a very similar template that you can use for just about any situation with which you might be faced."-- William G. Smith President, William G. Smith & Associates
"In today's fast-paced e-oriented world, it is no longer acceptable to bury business constraints in hard-to-change data structures. Data architects must comprehend complex requirements and recast them into data architecture with vision for unforeseen futures. Len's models provide an outstanding starting point for novice and advanced data architects for delivering flexible data models. These models position an organization for the business rule age. Their proper implementation and customization allows the organization to externalize and manage business policies and rules so that the business can proactively change itself. In this way, the data architecture, based on Len's models and procedures for customizing them, becomes by design the foundation for business change."--Barbara von Halle Founder, Knowledge Partners, Inc. Co-author of Handbook of Relational Database Design
"These books are long overdue and a must for any company implementing universal data models. They contain practical insights and templates for implementing universal data models and can help all enterprises regardless of their level of experience. Most books address the needs for data models but give little in the way of practical advice. These books fill in that void and should be utilized by all enterprises."--Ron Powell Publisher, DM Review
"I was first introduced to The Data Model Resource Book three years ago when I was hired by a firm that wanted an enterprise data model. This company did not believe the dictum that "all companies are basically the same;" they felt they were somehow unique. After a little analysis with Len Silverston's help, we found that we were actually quite a bit the same: we had customers, accounts, employees, benefits, and all the things you'd find in any corporation. All we had to do was adapt the product component of Len's book and we were ready to move ahead with a great framework for all of our data. A CD-ROM that accompanies the book provided scripts to build the model in Oracle very quickly. We then began mapping all of our detailed data types to the enterprise model and, voila, we could find a place for all of those various spellings and misspellings of Account Number.
Volume 2 of this revised edition provided even more exciting features: models of industry-specific data. I began to see interesting patterns that permeated this volume. For example, a reservation is a reservation, whether you're an airline, a restaurant, or a hotel. (We even have something similar in the oil industry--the allocation.)
Another concept from the book that has changed my thinking and vocabulary is the word "party." I recently managed a project in which an employee could also function as a customer and as an on-line computer user. The team was in disagreement regarding a name for this entity; but after checking The Data Model Resource Book, we realized that here we had a party playing three roles.
Whether your job is to jump-start a data warehouse project or borrow ideas for any subject area in your next operational database, I highly recommend The Data Model Resource Books, Revised Edition, Volumes 1 and 2 as your bible for design."--Ted Kowalski Data Architect, Equilon Enterprises LLC Author of Opening Doors: A Facilitator's Handbook

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A key benefit of this book is the ability to reuse its industry models, saving tremendous amounts of time by not reinventing the wheel doing analysis that has been done before. Lesen Sie die erste Seite
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Von W. Kuhn am 16. September 2012
Format: Taschenbuch Verifizierter Kauf
Useful data models and concepts, but if you are an experienced software developer, there is no real news. A good reminder to think about data structures.
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Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)

Amazon.com: 24 Rezensionen
45 von 49 Kunden fanden die folgende Rezension hilfreich
This book is an advertisement for the [price] download 1. August 2002
Von David - Veröffentlicht auf Amazon.com
Format: Taschenbuch
What a [scheme]. I thought I was purchasing some templates - generic data models oriented for specific industries. This book is a teaser for the author's electronic products, which contain the real templates. This book has just enough information to lead you to believe the electronic product is plausable, but not enough to really use the data models discussed(without the expensive downloads). I expected a bunch of entities with the PK and FK attributes ready for customizing with my company specific attributes... NOT.
36 von 39 Kunden fanden die folgende Rezension hilfreich
Buyer Beware-what a tease! 24. Februar 2003
Von Ivan Vandermerwe - Veröffentlicht auf Amazon.com
Format: Taschenbuch
First the content: Contains everything that is not taught in graduate school (been there), and everything that a data modeller needs know about data modelling.
Next the format: Consumerism at its worse! An incomplete template here, missing template there-a tease to lay out $400 for a complete set of templates (on top of the $100 plus for both volumes already laid out).
The conclusion: invest in volume 1 and familiarize yourself with the valuable concepts layed out there-save your money and TIME with volume 2.
9 von 9 Kunden fanden die folgende Rezension hilfreich
Is it worth buying a book for only one chapter? 15. Februar 2005
Von Dagna Gaythorpe - Veröffentlicht auf Amazon.com
Format: Taschenbuch
Yes, it is. Because the other chapters have all sorts of useful content as well. This book covers Manufacturing, Telecommunications, Health Care, Insurance, Financial Services, Professional Services, Travel, and e-Commerce. Most companies, even if they aren't in those sectors, use the services of companies that are (or may do a little bit of them - offer insurance on their products, for example), and if you need to include these areas in your model, in more detail than was covered in volume 1 (the core Universal Data Model book), then this is the place to start. If you are in one of these areas, then the specific chapter has a lot of useful stuff (I have worked in Travel, Telecommunications and Professional Services), but it is well worth checking out the other models for ideas that can be re-used in your area.
10 von 11 Kunden fanden die folgende Rezension hilfreich
Excellent, best practice industry data models! 30. März 2004
Von Ein Kunde - Veröffentlicht auf Amazon.com
Format: Taschenbuch
This book provides an extremely comprehensive and useful set of industry data models. They have been a tremendous value to us by allowing us to reference best-practice designs on our projects as well as being able to save a great deal of time by not having to re-invent the wheel for standard data modeling structures. The models are extremely well thought out and offer insight into both effective ways of modeling as well as pitfalls to be careful of. The author shows extensive knowledge and expertise in the various industries that are provided. We have used many of the models from the health care, insurance, professional services and e-commerce models to give us a kick-start on data modeling projects as well as to double check our designs and make sure we didn't overlook anything important and we did end up modifying and improving many of our data models based upon ideas from this book.
The books offers an optional electronic download of the SQL for each industry for $400 but this is not at all necessary to benefit from the templates offered in the book because the book provides detailed data model constructs showing everything necessary to implement the models including primary and foreign key structures, attributes, relationship and attribute optionality, cardinalities of relationships, full explanations of the rationale behind each model, and even data examples for most of the models and attributes. We licensed the electronic download also and it saved us some time instead of having to manually enter the models from the book, however, the book without the electronic downloads is complete in and of itself, and it is amazing that one can buy an extensive library of industry data models for the cost of this book!
5 von 5 Kunden fanden die folgende Rezension hilfreich
What a time saver and valuable resource! 25. Februar 2004
Von Chandra Srinimugam - Veröffentlicht auf Amazon.com
Format: Taschenbuch
My copy of both volume 1 and volume 2 have been referenced so many times that they are tattered and worn, but such a valuable resource on all my projects. Whenever I contemplate a design, I first look at this book and, more often than not, I get ideas and best practices on ways to model the construct. I have successfully re-used designs from both volume 1 and 2 and have applied models from both of these books towards the modeling of many industries including distribution, manufacturing, telecommunications, health care, financial services and professional services.
I have found that the models provided are very relevant, re-usable, and of very high quality. They also provide all the details necessary to create physical database designs. They include entities, keys (primary and foreign), relationships (named), attributes, and the appendices include a complete listing and cross referencing of the entities and attributes, which entities are used in which diagrams (in volume 2), and domains that specify the data type and suggested lengths for each attribute. The book provides clear explanations as to why the models are modeled a certain way as well as includes data examples showing the specific instances of data that could be stored in these models.
The data models offered are at what I would consider a mid level of abstraction. Therefore, they offer a good level of flexibility without being overly abstract. The author will use very useful abstractions such as a "party", "product", "agreement" and "work effort" (with many specific subtypes of these entities as they apply to the various industries) but he does not go overboard by including overly generic concepts like "item" "activity", or "thing" entities. What I really like is that the author will often show multiple ways of modeling the same construct and show the pros and cons of the different ways to model a construct. Sometimes specific data modeling constructs are shown and sometimes more abstract entity models are shown.
Both the volume 1 common models and volume 2 industry models have not only saved me time by being able to re-use the constructs, but they have offered some perspectives that did not occur to me and have literally been a life saver to me on many a project. I could not ask for a better reference on data modeling templates and re-usable data modeling examples!
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