The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling (Second Edition)

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The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling (Second Edition)
by Ralph Kimball, Margy Ross
from Wiley

Customer Reviews:

• Avg. Customer Rating: 4.5 / 5.0

• One of the best technical books ever
  I found this to be one of the best technical books written - ever. When the authors demanded my full attention by advising in the Intro section that the book has to be read from beginning to end in a sequence, I was initially put off. But then once I got going, it was un-put-downable. I have another take on this book - if you are a data practitioner with formal technical training (aka database/programmer geek) and are contemplating an MBA or training on management skills, this book is your place to start. I... more info

• Excellent blend of technical and business concepts
  There are at least 3 excellent books from the Kimball Group in their data warehouse toolkit series. This one, "The Complete Guide to Dimensional Modeling", is extremely interesting and useful, especially because the various concepts are presented in the context of a widely varied series of specific business requirements being addressed by a data warehouse. The reader not only gains insights into dimensional modeling details, but has a great opportunity to learn and compare the different requirements and... more info

• Good for Dimentional Modeling
  I did not get chance to read it, but everybody says it the best source to learn Dimensional Modeling. I our project, the DBA is doing it.

• A tool rather than a toolkit
  This book delivers exactly what it says. Except that word "toolkit" in its title - you'd better think about this book being a single tool, not a whole toolkit. Ralph Kimball actually has a whole lot of books on data warehousing published, this is one of them, a tool in the toolkit. This one seems like a good starting point to the entire series, and it only shows a single facet - the dimensional modeling.
  The book explains the basic principles of creating dimensions and fact tables in a data warehouse... more info

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