The Data Warehouse Toolkit: Practical Techniques for Building Dimensional Data Warehouses Review

The Data Warehouse Toolkit: Practical Techniques for Building Dimensional Data Warehouses
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Kimball has done an excellent job by writing this book. You don't require any mentionable knowledge about data warehousing or dimensional modeling to completely comprehend this book. He has explained all of the concepts of Dimensional Data Warehouse with the help of real-life examples. Perhaps that makes this book so unique and pragmatic.It is easy to read and also chapters are well arranged to gain a very systematic progression of the subject. All the concepts are explained and postulated in the context of some examples. So don't plan to skip any chapters. That doesn't work with this book.
I would recommend this book, to anybody who wants to practice DDW, as the first book to be read on the subject to gain most.
Because of its entirely example-based approach, the book may not be of much use in an exclusive conceptual/academic perspective.
The only omission I have noticed in this book is, it doesn't speak much about data extraction complexities. Even though Kimball dedicates a few pages towards the end of the book for this purpose, it is largely insufficient and gives no worthful advice to a practioner of data extraction process. So if you are looking for a solution to your data extract nightmare, this book is of little use.

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Employing many real-life case studies of data warehouses, Ralph Kimball provides clear-cut guidelines on how to model data and design data warehouses to support advanced multidimensional decision support systems. With Kimball's step-by-step instructions, readers will have mastered the full range of powerful techniques for creating, controlling and navigating dimensional business databases that are easy to understand and navigate.

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