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The Data Model Resource Book: A Library of Universal Data Models for All Enterprises: 1 by [Silverston, Len]
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The Data Model Resource Book: A Library of Universal Data Models for All Enterprises: 1 Kindle Edition

4.6 out of 5 stars 9 customer reviews

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Review

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

Review

"The Data Model Resource Book, Revised Edition, Volume 1 is the best book I?ve seen on data architecture. It does not merely address the top levels of a data architecture (Zachman Framework row one or two); it provides both common and industry–specific logical models as well as data designs that may be customized to meet your requirements. The end result is a is a rich framework whose models span the higher and lower levels of a data architecture, including high–level models, logical models, warehouse designs, star schemas, and SQL scripts. You can use the data models, designs, and scripts as templates or starting points for your own modeling, an introduction to subject areas you might not be familiar with, a reference to validate your existing models, and a help to building an enterprise data architecture. The book provides techniques to transform models from one level to another, as well as tips and techniques for getting the appropriate levels of abstraction in the models. Instance tables (sample data) help bring the models to life. I have customized and used the models from the first edition on many projects in the last two years?it is an invaluable resource to me."
––Van Scott, President, Sonata Consulting, Inc.

"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

"Businesses across the world are demanding quality systems that are built faster by IT shops. This book provides a foundation of patterns for data modelers to expand upon and can cut days, if not weeks, off a project schedule. I have found The Data Model Resource Book, Revised Edition, Volume 1 valuable as a resource for my modeling efforts at L.L. Bean, Inc. and feel it is an essential component in any modelers toolkit."
––Susan T. Oliver, Enterprise Data Architect, L.L. Bean, Inc.

"I was first introduced to The Data Model Resource Book three years ago when I was hired by a firm who 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, Equilon Enterprises LLC, Author of Opening Doors: A Facilitator′s Handbook


Product details

  • Format: Kindle Edition
  • File Size: 14295 KB
  • Print Length: 542 pages
  • Publisher: Wiley; 1 edition (5 May 2008)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B006BBVQQY
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Enabled
  • Average Customer Review: 4.6 out of 5 stars 9 customer reviews
  • Amazon Bestsellers Rank: #484,080 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Format: Paperback Verified Purchase
A belated but welcome sequel to vol.s 1-2 in the series. The book is one-of-its kind, advanced (in parts: very!), dry (in parts: very!) and will probably confuse a novice modeler. On the other hand it is practical and takes relational modeling to a new level for experienced modelers. The key point so well explained and exemplified is that there are different levels of modeling of the same subject - each with a proper purpose and use. There is never one true and correct model, a data model is after all 'a model', a representation of something, not the thing itself. The true modeling professional must know when to choose one or the other model type, and when and how to switch between them. After all, data modeling may be an art and it may be a craft, but it is definitely not an exact science (though a great many other data modeling books may leave that impression).
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Format: Paperback Verified Purchase
I like this series of books as generically they are extremely useful. I don't agree with everything in them, which actually makes them more useful as you think more rather than just accepting the pattern (or your own preference)
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Format: Paperback Verified Purchase
Excellent book that lays out the options for specific models versus generalised models and the associated pros and cons. The answer is do both for different reasons and then understand how many of the business rules you want to enshrine in the data model. Builds on the first two books and shows how the authors wrote them. At the end of the day each modeller/designer must make their own calls but this provides some structure around which to make those choices. The detail wags the dog.
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Format: Paperback
You might be tempted (as I was, at first) to just dip into this book and use it as a source of patterns for producing data models. And if you do that, then you will find some very useful patterns as well as saving a lot of time. But that would be a shame, because by starting at the beginning and reading the whole book, I found that as well as a very comprehensive, rigourous and coherent set of models, I also got an understanding of the underlying structures and approach. And this approach has proved to be extremely useful when dealing with any new data structures. Someone described this as 'the second data modelling book you should buy', and I agree with that.
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Format: Paperback Verified Purchase
Still relevant today! I don't agree with all the patterns in the book but it is a really comprehensive source of basic data models for business applications. Study them, evaluate them and build your own.
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