Features
- Cover Type: Paperback with 528 pages
- Published by: Wiley
- Edition: 1st Edition September 13, 2004
- Written in: English
- ISBN 10 Number: 0764567578
- ISBN 13 Number: 978-0764567575
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Book Dimensions:
9 x 7.4 x 1.1 inches
- Weighs: 1.6 pounds
Book Description
- Cowritten by Ralph Kimball, the world's leading data warehousing authority, whose previous books have sold more than 150,000 copies
- Delivers real-world solutions for the most time- and labor-intensive portion of data warehousing-data staging, or the extract, transform, load (ETL) process
- Delineates best practices for extracting data from scattered sources, removing redundant and inaccurate data, transforming the remaining data into correctly formatted data structures, and then loading the end product into the data warehouse
- Offers proven time-saving ETL techniques, comprehensive guidance on building dimensional structures, and crucial advice on ensuring data quality
Back Cover Copy
The single most authoritative guide on the most difficult phase of building a data warehouse
The extract, transform, and load (ETL) phase of the data warehouse development life cycle is far and away the most difficult, time-consuming, and labor-intensive phase of building a data warehouse. Done right, companies can maximize their use of data storage; if not, they can end up wasting millions of dollars storing obsolete and rarely used data. Bestselling author Ralph Kimball, along with Joe Caserta, shows you how a properly designed ETL system extracts the data from the source systems, enforces data quality and consistency standards, conforms the data so that separate sources can be used together, and finally delivers the data in a presentation-ready format.
Serving as a road map for planning, designing, building, and running the back-room of a data warehouse, this book provides complete coverage of proven, timesaving ETL techniques. Beginning with a quick overview of ETL fundamentals, it then looks at ETL data structures, both relational and dimensional. The authors show how to build useful dimensional structures, providing practical examples of techniques.
Along the way youll learn how to:
- Plan and design your ETL system
- Choose the appropriate architecture from the many possible options
- Build the development/test/production suite of ETL processes
- Build a comprehensive data cleaning subsystem
- Tune the overall ETL process for optimum performance
Reader Reviews
A survival guide and a must have for every data warehouse architect. This book is written for architects - not for ETL developers. Written from the 10,000 foot level, many of the architectures and designs are `nice to haves' and would require tremendous commitments in resources to be implemented and thus may be too lofty for many organizations. HOWEVER, it is best to have a theoretical bulls-eye, a target to shoot for, and try to make small baby steps towards implementing the optimal solution, then not have a hypothetical utopia at all to strive for. Looking for a comparison of ETL tools and which ones do what best? You will not find this here. A great resource for DW Architects who may have many years of experience working on data warehouse projects but may have not had the opportunity of implementing some more elaborative meta data driven cleaning and conforming schemas - a truly interesting approach yet I'm not sure Ralph Kimball's design with the `survivorship support metadata' schema, could perform fast enough for some of the large data warehouse loading needs of larger organizations. Separating critical issues from insignificant ones is difficult from the reading, however, the framework and methodical approach to the steps of Extract =
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