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Related products:

The Data Model Resource Book, Vol. 1: A Library of Universal Data Models for All Enterprises The Data Model Resource Book, Vol. 1: A Library of Universal Data Models for All Enterprises


Data Modeling Essentials, Third Edition (Morgan Kaufmann Series in Data Management Systems) (The Morgan Kaufmann Series in Data Management Systems) Data Modeling Essentials, Third Edition (Morgan Kaufmann Series in Data Management Systems) (The Morgan Kaufmann Series in Data Management Systems)


The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleanin The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleanin

Database Design

The Data Model Resource Book, Vol. 2: A Library of Data Models for Specific Industries

Database Design
Format: Paperback
Author: Len Silverston
ReleaseDate: 07 March, 2001
Publisher: Wiley
Rating:

Best choice for advanced data modeling.
. If you will got this book, you will got perfect template model.


Is it worth buying a book for only one chapter?
Because the other chapters have all sorts of useful content as well. Yes, it is. 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.


A Great Time Saver!
We have used many of the pre-defined industry models for both internal and external projects. The industry models defined in volume 2 have greatly accelerated our data warehouse/mart projects. Again, a great time saver allowing us to "jump-start" our data projects.



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