The Data Model Resource Book: Volume 3: Universal Patterns for Data Modeling

by Len Silverston, Paul Agnew

This third volume of the best-selling "Data Model Resource Book" series revolutionizes the data modeling discipline by answering the question "How can you save significant time while improving the quality of any type of data modeling effort?" In contrast to the first two volumes, this new volume focuses on the fundamental, underlying patterns that affect over 50 percent of most data modeling efforts. These patterns can be used to considerably reduce modeling time and cost, to jump-start data modeling efforts, as standards and guidelines to increase data model consistency and quality, and as an objective source against which an enterprise can evaluate data models.

 

Genres: Technology, Software, Programming

642 pages, Kindle Edition

First published December 1, 2008

Reviews

[Andrew Gillette · Rating 2 out of 5]

I'm a programmer with a DBA background, so I thought that this book would be an easy read to improve my data architecture models. It is not. Rather, this book is mostly repetitive jargon that almost seems like it was written by someone who has never managed an enterprise database. In short, this book is the sociology of psychology or the political science of statistics. Lots of jargon and very little application. On a positive note, this book has helped me to fall asleep quicker after a late night.