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Data Modeler's Workbench w/WS: Tools and Techniques for Analysis and Design (Computer Science) (Englisch) Taschenbuch – 7. Dezember 2001

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A goldmine of valuable tools for data modelers! Data modelers render raw data-names, addresses, and sales totals, for instance-into information such as customer profiles and seasonal buying patterns that can be used for making critical business decisions. This book brings together thirty of the most effective tools for solving common modeling problems. The author provides an example of each tool and describes what it is, why it is needed, and how it is generally used to model data for both databases and data warehouses, along with tips and warnings. Blank sample copies of all worksheets and checklists described are provided in an appendix. Companion Web site features updates on the latest tools and techniques, plus links to related sites offering automated tools.


"This book is chock-full of useful techniques and tips for improving data models and designs. And it's an entertaining read as well-a terrific combination!"
-Wayne Eckerson, Director of Education and Research, The Data Warehousing Institute
A data model is the heart and soul of any application, providing a foundation for efficient data entry and retrieval. It needs to be consistent with other models within your organization, accurately capture the current business requirements, and evolve to support changing business needs.
Data Modeler's Workbench contains more than twenty finely tuned tools aimed at improving the speed, accuracy, flexibility, and consistency of your database, data warehouse, and operational applications. Steve Hoberman explains each tool with the help of detailed examples, showing how to apply each tool and where in the operational and reporting environment each tool is most effective. You can customize the tools in this book for your particular industry, organization, or project.
The companion Web site features:
* Downloadable copies of the worksheets and checklists that modelers can use on their own projects
* Updates on the latest tools, techniques, and discussion forums
* Links to other data modeling sites
Advance Praise:
"Any data modeler should own a copy of Steve Hoberman's book on data modeling tools and techniques."
-David Marco, President, Enterprise Warehousing Solutions, Inc.
"Steve Hoberman has written a truly valuable book that is sure to advance the discipline of data modeling."
-David Wells, Founder and Principal Consultant, Infocentric
Wiley Computer Publishing
Timely. Practical. Reliable.
Visit our Web site at www.wiley.com/compbooks/
Visit the companion Web site at www.wiley.com/compbooks/hoberman
Visit Steve Hoberman's Web site at www.stevehoberman.com

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Amazon.com: HASH(0x904ad960) von 5 Sternen 16 Rezensionen
10 von 10 Kunden fanden die folgende Rezension hilfreich
HASH(0x9087351c) von 5 Sternen The Best New Data Modeling Book in Years! 4. März 2002
Von Amazon Customer - Veröffentlicht auf Amazon.com
Format: Taschenbuch
Steve Hoberman has written a truly valuable book that is sure to advance the discipline of data modeling. The writing style make it a comfortable and interesting book to read, and the organization makes it useful as a reference. Steve's concepts, definitions, and classification schema help to advance data modeling as a learnable and repeatable process. Many aspects of this book added to my knowledge of data modeling. I learned some new techniques, and I've been a data modeling practitioner since the early 1980's. This is a must for every data modeler's bookshelf. I believe the single greatest impact this book will make is in its attention to data modeling as a human process as well as a technical one.
6 von 6 Kunden fanden die folgende Rezension hilfreich
HASH(0x90873570) von 5 Sternen great resource for novice and tenured data professionals 18. Oktober 2005
Von Kevin T. Mcgrath - Veröffentlicht auf Amazon.com
Format: Taschenbuch
I just finished reading the Data Modeler's Workbench cover to cover. It is an excellent piece - or as Steve would say, a great story!

I wish I had read this when I first bought it years ago. It would have really helped my modeling career - and I've been a modeler the past seven years.

I think this book is a must read for modelers of any level - from start to finish, not skipping chapters. It nails requirements gathering and analysis, providing templates for capturing same, recognizing that is where the most work lies. I really like the normalization hike and analogy to hiking to the highest peak, then denormalizing and/or abstracting.

It is not a book on theory written by some college professor or glorified lecturer that never or rarely worked in the field; rather, Steve is a tenured data professional who took the time to write down how he does it successfully. Why reinvent the wheel or proceed along in a haphazard way when he lays out how to do it?

Steve also has all the templates on his website, which is a big help.
6 von 6 Kunden fanden die folgende Rezension hilfreich
HASH(0x908739a8) von 5 Sternen A logical approach to logical data modeling 5. März 2002
Von Ein Kunde - Veröffentlicht auf Amazon.com
Format: Taschenbuch
What I liked most about this book was that all the techniques were explained in the order in which they should be applied. For example the subject area analysis techniques were discussed and occur before the subject area modeling techniques. It was very clear how the techniques in the later chapters relied upon the results from techniques in the earlier chapters. I also found the introductions to each of the chapters very entertaining.
6 von 6 Kunden fanden die folgende Rezension hilfreich
HASH(0x90873d5c) von 5 Sternen The Human Side of Modeling 7. Januar 2002
Von Ein Kunde - Veröffentlicht auf Amazon.com
Format: Taschenbuch
This book is incredibly comprehensive. While it provides really useful techniques for technical stuff like analyzing and modeling data, it also covers how to manage the process of modeling--including project planning and the human interactions involved in modeling. That is something so many other computer books leave out.
5 von 5 Kunden fanden die folgende Rezension hilfreich
HASH(0x90873b28) von 5 Sternen Great modeling book! 26. November 2004
Von Irv N - Veröffentlicht auf Amazon.com
Format: Taschenbuch
I have less than one year of data modeling experience and I thought the whole book was a great read, but I got the most out of the discussion on Abstraction in Chapter 9. After reading this chapter, I feel I can spot opportunities to make my modeling structures more flexible. Definitely recommend this book.
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