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The Data Warehouse Lifecycle Toolkit, by Ralph Kimball, Margy Ross, Warren Thornthwaite, Joy Mundy, Bob Becker
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A thorough update to the industry standard for designing, developing, and deploying data warehouse and business intelligence systems
The world of data warehousing has changed remarkably since the first edition of The Data Warehouse Lifecycle Toolkit was published in 1998. In that time, the data warehouse industry has reached full maturity and acceptance, hardware and software have made staggering advances, and the techniques promoted in the premiere edition of this book have been adopted by nearly all data warehouse vendors and practitioners. In addition, the term "business intelligence" emerged to reflect the mission of the data warehouse: wrangling the data out of source systems, cleaning it, and delivering it to add value to the business.
Ralph Kimball and his colleagues have refined the original set of Lifecycle methods and techniques based on their consulting and training experience. The authors understand first-hand that a data warehousing/business intelligence (DW/BI) system needs to change as fast as its surrounding organization evolves. To that end, they walk you through the detailed steps of designing, developing, and deploying a DW/BI system. You'll learn to create adaptable systems that deliver data and analyses to business users so they can make better business decisions.
- Sales Rank: #74298 in Books
- Brand: Kimball, Ralph
- Published on: 2008-01-10
- Original language: English
- Number of items: 1
- Dimensions: 9.30" h x 1.30" w x 7.40" l, 2.11 pounds
- Binding: Paperback
- 672 pages
Review
(...)
Das Buch richtet sich primdr an Designer und Informations-Manager im Umfeld von Data-Warehouse-Anwendungen. Diese Zielgruppe erhdlt Ratschldge und Handlungsanleitungen, um deren Anforderungen optimal zu bewdltigen. Dabei ist der ganzheitliche Ansatz zu betonen, der eine evolutiondre Weiterentwicklung besser als singuldre Schnellsch]sse unterst]tzen kann. auch der zugrundeliegende Architekturcharakter trdgt zur Festigung dieser Intension bei. Zu knapp werden die Themen Data Mining und Parallelverarbeitung angesprochen; ebenfalls fehlen zur Vertiefung weiterf]hrende Literaturhinweise. Insbesondere SMP und MPP bieten f]r die praktische Realisierung wichtige Unterst]tzungshilfen. Wobei zur Verbesserung der Performance die Fdhigkeit einiger DBMS Abfragen zu optimieren und parallel zu verarbeiten n]tzlich ist.
IT-Director 10/2000
From the Back Cover
A thorough update to the industry standard for designing, developing, and deploying data warehouse and business intelligence systems
The world of data warehousing has changed remarkably since the first edition of The Data Warehouse Lifecycle Toolkit was published in 1998. In that time, the data warehouse industry has reached full maturity and acceptance, hardware and software have made staggering advances, and the techniques promoted in the premiere edition of this book have been adopted by nearly all data warehouse vendors and practitioners. In addition, the term "business intelligence" emerged to reflect the mission of the data warehouse: wrangling the data out of source systems, cleaning it, and delivering it to add value to the business.
Ralph Kimball and his colleagues have refined the original set of Lifecycle methods and techniques based on their consulting and training experience. The authors understand first-hand that a data warehousing/business intelligence (DW/BI) system needs to change as fast as its surrounding organization evolves. To that end, they walk you through the detailed steps of designing, developing, and deploying a DW/BI system. You'll learn to create adaptable systems that deliver data and analyses to business users so they can make better business decisions.
With substantial new and updated content, this second edition of The Data Warehouse Lifecycle Toolkit again sets the standard in data warehousing for the next decade. It shows you how to:
- Identify and prioritize data warehouse opportunities
- Create an architecture plan and select products
- Design a powerful, flexible, dimensional model
- Build a robust ETL system
- Develop BI applications to deliver data to business users
- Deploy and sustain a healthy DW/BI environment
The authors are members of the Kimball Group. Each has focused on data warehousing and business intelligence consulting and education for more than 15 years; most have written other books in the Toolkit series. Learn more about the Kimball Group and Kimball University at www.kimballgroup.com.
Wiley Technology Publishing
Timely. Practical. Reliable.
Visit the book's companion website at www.wiley.com/compbooks/kimball
Find templates, sample documents, checklists, and task lists on the book's companion website at www.kimballgroup.com
About the Author
Ralph Kimball, PhD, is the Founder of the Kimball Group and has been a leading visionary in the data warehouse industry since 1982.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Good book. Many reverse way of thinking
By Dan Q Yang
Good book. Many reverse way of thinking, to give you warring what could be wrong.
6 of 6 people found the following review helpful.
A must read for every DW practitioner.
By Prashanth R. Maruthur Chakrapani
A great read with valuable nuggets littered across every chapter. Years of experience have been laid out in the book. The 2nd edition is much better than its predecessor. Every topic has adequate space allocated to it. One should not expect an extensive review of dimensional modeling techniques in this book even-though, the authors have explained the topic very well. For a more detailed review with examples, you should purchase the toolkit on dimensional modeling. The same applies to designing the ETL sub-system.
5 of 5 people found the following review helpful.
DW Revisited
By T. Patnode
I took Kimball's class on the data warehouse lifecycle a few years ago. Recently as I was reviewing some of the problems our organization is wrestling with in building our data warehouse, I went back to the book which is now some 4 years old... but the fundamentals are all there and really they haven't changed much. This is the "bible" I use, and many DW/BI professionals would say the same. If you want to understand the ecosystem for a sound DW/BI solution, this is where you go. There are many other great books that add to it, but start here.
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