The Data Modeling Handbook : A Best-Practice Approach to Building Quality Data Models

May be good in the class room; but in actual practice there are much better references available such as Silverston, Inmon, Kimball, and of course the Zachman framework.

The help screens on the Data modeling tools are more advanced in explaining data modeling than this book.

Probably great for theorists - managers or teachers that don't know what they are doing! But the real modelers will seek help elsewhere.

Poor, underdocumented examples. Oversimplification. Unfortunately at the time I had only the title to choose from. Good thing most books now have a table of contents.

Database modeling still doesn't have strong references as database theory does (Date's, Ramakrishnan's, Elmasri's only to cite three). There are excellent theoretical (Thalheim's "Entity-Relationship Modeling" is good) and philosophical approaches (finally they re-published Kent's opera-prima "Data and Reality", fabulous).

The picture is poor when it comes to hands-on modeling. Bruce's "Designing Quality Databases..." is an exception. Good and useful for someone who is developing modeling expertise. But I especially don't recommend Reingruber&Gregory's book.