Data Warehouse Toolkit
Ralph Kimball, PhD, is well known as the father of dimensional data modeling. His books, speeches, and classes have taught today’s data warehousing professionals how to design implement successful data warehouses and data marts. His classes can be found at The Kimball University and articles can be found through out the internet. We have included his most important books, here for you.
Data Warehouse Toolkit Classics
2009, Wiley, Authors: Ralph Kimball, Margy Ross, Bob Becker, Joy Mundy, Warren Thornwaite
Build your Kimball library the smart way. This set incldues:
- The Data Warehouse Toolkit, Second Edition,
- The Data Warehouse Lifecycle Toolkit, Second Edition, and
- The Data Warehouse ETL ToolkitEach book covers critical subjects for data warehousing success.
The Data Warehouse Lifecycle Toolkit
2008, Wiley, Authors: Ralph Kimball, Margy Ross, Bob Becker, Joy Mundy, Warren Thornwaite
This book is the top ranked Amazon book that is specifically aimed at data warehousing. If you buy one data warehousing book, this should be the one.
It not only shows how to organize and manage a successful DW/BI project, it
also shows how to architect the system and design the databases. Excellent updates have been made for the second edition, addressing changes needed for the 21st century.
The Data Warehouse Toolkit
2009, Wiley, 2nd Edition, Authors: Ralph Kimball, Margy Ross, Bob Becker, Joy Mundy, Warren Thornwaite
Both the big picture and implementation details are provided in The Data Warehouse Toolkit. It shows you the way to:
- Manage a successful data warehousing and business intelligence project
- Define a data warehousing architecture
- Design effective dimensional models
- Produce a durable DW/BI
The Data Warehouse ETL Toolkit:
Practical Techniques for Extracting, Cleaning, Conforming, and
Delivering Data
2004, Wiley, Authors: Ralph Kimball, Joe CasertaObtaining clean data is the most expensive phase in building a data warehouse.
The Data Warehouse ETL Toolkit shows how to effectively design an implement
ETL to populate a data warehouse. This critical roadmap can help you to succeed in this critical area.


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