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The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling [Paperback]

Ralph Kimball , Margy Ross
4.3 out of 5 stars  See all reviews (52 customer reviews)

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There is a newer edition of this item:
The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling
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Book Description

April 26, 2002 0471200247 978-0471200246 2
The latest edition of the single most authoritative guide on dimensional modeling for data warehousing!

Dimensional modeling has become the most widely accepted approach for data warehouse design. Here is a complete library of dimensional modeling techniques-- the most comprehensive collection ever written. Greatly expanded to cover both basic and advanced techniques for optimizing data warehouse design, this second edition to Ralph Kimball's classic guide is more than sixty percent updated.

The authors begin with fundamental design recommendations and gradually progress step-by-step through increasingly complex scenarios. Clear-cut guidelines for designing dimensional models are illustrated using real-world data warehouse case studies drawn from a variety of business application areas and industries, including:

* Retail sales and e-commerce

* Inventory management

* Procurement

* Order management

* Customer relationship management (CRM)

* Human resources management

* Accounting

* Financial services

* Telecommunications and utilities

* Education

* Transportation

* Health care and insurance

By the end of the book, you will have mastered the full range of powerful techniques for designing dimensional databases that are easy to understand and provide fast query response. You will also learn how to create an architected framework that integrates the distributed data warehouse using standardized dimensions and facts.

This book is also available as part of the Kimball's Data Warehouse Toolkit Classics Box Set (ISBN: 9780470479575) with the following 3 books:

The Data Warehouse Toolkit, 2nd Edition (9780471200246)

The Data Warehouse Lifecycle Toolkit, 2nd Edition (9780470149775)

The Data Warehouse ETL Toolkit (9780764567575)


Frequently Bought Together

The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling + The Data WarehouseETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data + The Data Warehouse Lifecycle Toolkit
Price for all three: $112.52

Buy the selected items together


Editorial Reviews

Review

"...this is the daddy of data warehousing process books. No other material available so concisely and precisely explains what is required from a data warehousing solution...this is a great book..." (Enterprise Server Magazine, July 2002)

From the Back Cover

The latest edition of the single most authoritative guide on dimensional modeling for data warehousing!

Dimensional modeling has become the most widely accepted approach for data warehouse design. Here is a complete library of dimensional modeling techniques-- the most comprehensive collection ever written. Greatly expanded to cover both basic and advanced techniques for optimizing data warehouse design, this second edition to Ralph Kimball's classic guide is more than sixty percent updated.

The authors begin with fundamental design recommendations and gradually progress step-by-step through increasingly complex scenarios. Clear-cut guidelines for designing dimensional models are illustrated using real-world data warehouse case studies drawn from a variety of business application areas and industries, including:
* Retail sales and e-commerce
* Inventory management
* Procurement
* Order management
* Customer relationship management (CRM)
* Human resources management
* Accounting
* Financial services
* Telecommunications and utilities
* Education
* Transportation
* Health care and insurance

By the end of the book, you will have mastered the full range of powerful techniques for designing dimensional databases that are easy to understand and provide fast query response. You will also learn how to create an architected framework that integrates the distributed data warehouse using standardized dimensions and facts.

Wiley Computer Publishing. Timely. Practical. Reliable.

Visit our Web site at www.wiley.com/compbooks/
Visit Kimball's Web site at www.kimballuniversity.com

Product Details

  • Paperback: 464 pages
  • Publisher: Wiley; 2 edition (April 26, 2002)
  • Language: English
  • ISBN-10: 0471200247
  • ISBN-13: 978-0471200246
  • Product Dimensions: 7.4 x 1 x 9.2 inches
  • Shipping Weight: 1.5 pounds (View shipping rates and policies)
  • Average Customer Review: 4.3 out of 5 stars  See all reviews (52 customer reviews)
  • Amazon Best Sellers Rank: #22,908 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews
120 of 126 people found the following review helpful
5.0 out of 5 stars Practical Wisdom May 5, 2002
Format:Paperback
There are a lot of data warehousing books out there that try to answer the question: 'Why'? Why data warehouses are needed to help businesses make better decisions - why the OLTP systems that run the business can't do this - and sometimes even why businesses ought to invest in data warehouses. These books were terrifically useful to us years ago, when we needed help (and scholarly footnotes) in our data warehouse project proposals. This book is not one of those - it is all about:

How

How to actually design and build a repository that will deliver real value to real people. In this reviewer's opinion, Ralph Kimball's many contributions related to the 'how' of data warehousing stand alone.

An engineer wishing to jump-start his or her data warehouse education would need to read Ralph's Data Warehouse Toolkit first edition, his Data Webhouse Toolkit... a bunch of "Data Warehouse Designer" Intelligence Enterprise magazine articles... AND lurk on the Data Warehousing List Server...for a few years (all terrific resources - by the way) - in order to stockpile the knowledge that is crisply presented here.

No shortcuts taken by the authors that I can spot: all of the toughest dimensional design issues that I've tripped on - and that I can remember surfacing on in discussion groups over the past few years - are addressed in this significantly updated text. Not all of the solutions are 'pretty' - but it is clear that they thoughtfully address the problem. This approach, in my opinion, instills student confidence - and lets us know that we are getting sound instruction - not dogma.

The authors have been listening to and addressing the data warehouse community's 'pain' through periodicals and posts for years - but this book pulls these point solutions together very nicely. I learned a surprising number of really useful new techniques, and was genuinely enlightened by the 'Present Imperatives and Future Outlook' section.

As in the first edition, there is minimal philosophical lecturing, and zero religion. Instead, we get generous helpings of real-world case studies - aptly applied to progressively more advanced series of design concepts.

This style absolutely works for me. And I suspect that engineering mindsets typical of the folks that build these things will likely agree. In short, the Data Warehouse Toolkit Second Edition will significantly lighten the load of books that I carry between data warehouse engagements.

Jim Stagnitto
Llumino, Inc.
www.llumino.com
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44 of 47 people found the following review helpful
5.0 out of 5 stars Top-notch course in dimensional data warehouses August 27, 2002
By A Customer
Format:Paperback
If you want to understand data warehouse design either as user, architect or developer, you need to read this book cover to cover.

Things I like about this book:

* Coverage of all core principles in dimensional data modeling using examples. Ralph does not just lecture to you -- he shows you how to put it into practice

* Coverage of a vast variety of domains. This alone makes the book a must-read

* Recap of major principles at the end of the book to bring it all together

* Excellent writing -- Ralph does not treat you like a dummy; neither does he assume that you have an IQ north of 200

* When you purchase this book, you are in effect purchasing a sliver of the combined knowledge of both authors in the data warehousing field. Highly recommended

I implemented a data warehouse using some of these principles back in 1999. The project was a resounding success and is the most popular application in the financial services firm that I implemented it in. (Infact when I lost my job at an Internet company, they immediately offered me a job based on this implementation). The only sad part to the whole story is that we made a few mistakes in implementation that are now very difficult to correct because the data warehouse has become core to the business -- we have too many end-user applications riding on it!

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22 of 23 people found the following review helpful
5.0 out of 5 stars An Indispensible Book June 7, 2003
Format:Paperback
After six years of creating data warehouse applications, making a plethora of mistakes and learning stuff the hard way, I wish I had had this book at the start! Every other page offers a solution to some problem or other that I have had. In the project I am just starting I am facing new challenges and am finding help with them as well. The best part is how solutions I used in the past which were appropriate for those problems are contrasted with solutions for problems like the ones I am facing now. Almost as bad as solving a problem the wrong way (or overlooking it entirely) is reusing an old solution that does not fit the new problem. This book clearly spells out when each solution is appropriate. I can not speak too highly about how useful this book will be for you!
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Most Recent Customer Reviews
4.0 out of 5 stars Very Good book on DW
Very Good book on DW with the basics and advance version on DW. Good for starters on datawarehousing. Details on FACTS and Dimensions.
Published 2 days ago by Girish Nair
1.0 out of 5 stars BUYER AWARE !!! IRRESPONSILBE SELLER AND VERY VERY BAD CUSTOMER...
I have waited a long time for the book to deliver to me and couldn't find out the status of delivery thru the tracking # provided by the seller, so I contacted the seller. Read more
Published 1 month ago by CHUNGSWEI YAO
4.0 out of 5 stars Good Beginner's Guide
Compact tome with perfect font for the mature crowd. Like the clear and understandable way in which the various topics are presented and the use of simple diagrams.
Published 3 months ago by Audrey Semple
5.0 out of 5 stars Review requirements are a little silly
Don't you find it frustrating that you can't just rate with stars? Why should I be forced to add comments.

Amazon - home of the 85% awesome consumer experience!
Published 3 months ago by Reggie
3.0 out of 5 stars Mixed feelings
The book's complete title is "Data warehouse toolkit: the complete guide to dimensional modeling". What is dimensional modeling? Read more
Published 4 months ago by Dimitri Shvorob
5.0 out of 5 stars Great book - wish I had read it years ago
I had the fact and dimensions tables backwords. Very useful book on modeling data warehouse. It show how much thought needs to go into the design of a functional datawarehouse
Published 4 months ago by Harry M. Hadley
5.0 out of 5 stars Excellent
An excellent book for anyone who wants to learn and understand the concepts of data warehosuing.A very good book indeed.
Published 5 months ago by Abhishek D Purkayastha
5.0 out of 5 stars Changed how I think about data
I read this book in 2007. At first, I was a little put off by the examples not fitting our business; but around the 4th or 5th chapter, it started to make sense. Read more
Published 6 months ago by Giaco
2.0 out of 5 stars Not What I Expected
After reading the reviews, I thought this would be a good book. After reading the first four chapters, I deceided to return it because I believe it is not direct and to the point;... Read more
Published 10 months ago by Greyhound
5.0 out of 5 stars The Standard
Having been around data warehousing since 2004, I have relied on Kimball's teaching. Having gone to his training sessions in person, this is as close as you can get to taking him... Read more
Published 11 months ago by Chris Humeniuk
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