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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) [Paperback]

Ralph Kimball (Author), Margy Ross (Author)
4.5 out of 5 stars  See all reviews (42 customer reviews)

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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)


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The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling (Second Edition) + The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleanin + The Data Warehouse Lifecycle Toolkit
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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: 9.1 x 7.7 x 1 inches
  • Shipping Weight: 1.5 pounds (View shipping rates and policies)
  • Average Customer Review: 4.5 out of 5 stars  See all reviews (42 customer reviews)
  • Amazon Best Sellers Rank: #5,225 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews
115 of 121 people found the following review helpful
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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43 of 46 people found the following review helpful
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
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
A great introduction to dimensional modeling
I needed to learn the basics of Data Warehousing in order to assist the integration of our teams data into the departments data warehouse. Read more
Published 1 day ago by Randall W. Mathews
best data warehouse book
Easy to read, clear concepts and well organized. this is the best
data warehouse book I've ever read. Recommend that all DW professionals
should have the book in hands.
Published 1 month ago by K. Du
Awesome Book and it's condition too
Although I got a second hand book, it looks as good as a new book. No tear or wear on the book.

This book is an amazing one. Read more
Published 7 months ago by Incorrigible
Very good guide
This is not for how to create cubes, step by step tutorials or for one time study. This shows what is needed to create cubes. Read more
Published 8 months ago by Srav
Great book. Interesting Case Studies
Well written book, strongly organized with interesting references, examples and case studies.

Depending on your purposes, you may very well find a case study for the... Read more
Published 9 months ago by David Lio
The Dimensional Modeling Bible
Ralph got it right with this book: focus on the model and the system will perform. This book takes you through step by step on how to model for the data warehouse. Read more
Published 10 months ago by Steve G
Kindle Version so so
This is my first Kindle version of any book so keep this in mind. I just wanted to say that the quality of the scan is not perfect. Read more
Published 13 months ago by norm macaraeg
Very badly written
The first chapter is completely filled with run on sentences. I found this thing impossible to read. Read more
Published 13 months ago by Reader
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling...
Very good writing and easy to read;

Very logical and the 1st chapter draws you in immediately as it provides suggestions and pitfalls and followed by the basic 4-step... Read more
Published 16 months ago by Min
Excellent Introductory Read
I am a complete newbie to datawarehousing though I have been in the industry for 10 years and I have basic knowledge of databases and data structures. Read more
Published 23 months ago by Gaurav Harode
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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
snapshot fact table, warehouse bus matrix, accumulating snapshot, retail sales schema, date dimension table, transaction type dimension, data warehouse bus architecture, fact table row, fulfillment pipeline, junk dimension, first fact table, core fact table, factless fact table, multivalued dimension, separate fact tables, data presentation area, fact table granularity, main fact table, transaction fact table, second fact table, merchandise hierarchy, product dimension table, conformed dimensions, row effective date, new surrogate key
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Store Key, Account Key, Organization Key, United States, Employee Key, San Francisco, John Doe, Policyholder Key, Sales Rep Key, Vendor Key, Coverage Key, Covered Item Key, Deal Key, Customer Ship To Key, Contract Terms Key, Store Attributes, Written Premium Revenue Amount, Account Attributes, Employee Attributes, Non-Holiday Weekday, Order Line Number, Patient Key, Purchase Requisition Number, Ralph Kimball, Account Status Key
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