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The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data
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The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data

by Ralph Kimball, Joe Caserta
October 2004
Beginner to intermediate
528 pages
13h 39m
English
Wiley
Content preview from The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data

Acknowledgments

First of all we want to thank the many thousands of readers of the Toolkit series of data warehousing books. We appreciate your wonderful support and encouragement to write a book about data warehouse ETL. We continue to learn from you, the owners and builders of data warehouses.

Both of us are especially indebted to Jim Stagnitto for encouraging Joe to start this book and giving him the confidence to go through with the project. Jim was a virtual third author with major creative contributions to the chapters on data quality and real-time ETL.

Special thanks are also due to Jeff Coster and Kim M. Knyal for significant contributions to the discussions of pre- and post-load processing and project managing the ETL process, respectively.

We had an extraordinary team of reviewers who crawled over the first version of the manuscript and made many helpful suggestions. It is always daunting to make significant changes to a manuscript that is "done" but this kind of deep review has been a tradition with the Toolkit series of books and was successful again this time. In alphabetic order, the reviewers included: Wouleta Ayele, Bob Becker, Jan-Willem Beldman, Ivan Chong, Maurice Frank, Mark Hodson, Paul Hoffman, Qi Jin, David Lyle, Michael Martin, Joy Mundy, Rostislav Portnoy, Malathi Vellanki, Padmini Ramanujan, Margy Ross, Jack Serra-Lima, and Warren Thornthwaite.

We owe special thanks to our spouses Robin Caserta and Julie Kimball for their support throughout this project and ...

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Publisher Resources

ISBN: 9780764567575Purchase book