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

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

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By (author) Ralph Kimball, By (author) Joe Caserta

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  • Publisher: John Wiley & Sons Inc
  • Format: Mixed media product | 528 pages
  • Dimensions: 188mm x 234mm x 28mm | 771g
  • Publication date: 1 October 2004
  • Publication City/Country: New York
  • ISBN 10: 0764567578
  • ISBN 13: 9780764567575
  • Sales rank: 169,298

Product 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

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Author information

RALPH KIMBALL, PhD, founder of the Kimball Group, has been a leading visionary in the data warehousing industry since 1982 and is one of today's best-known speakers and educators. He is the author of several bestselling titles published on data warehousing, including The Data Warehouse Toolkit (Wiley). JOE CASERTA is the founder of Caserta Concepts, LLC, a data warehousing consulting firm. He writes frequently for print and online magazines, and is an active contributor to DWList, the major online community for data warehousing professionals.

Back cover copy

The single most authoritative guide on the most difficult phase of building a data warehouseThe 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 you'll learn how to: Plan and design your ETL systemChoose the appropriate architecture from the many possible optionsBuild the development/test/production suite of ETL processesBuild a comprehensive data cleaning subsystemTune the overall ETL process for optimum performance

Table of contents

Acknowledgments. About the Authors. Introduction. Part I: Requirements, Realities, and Architecture. Chapter 1: Surrounding the Requirements. Chapter 2: ETL Data Structures. Part II: Data Flow. Chapter 3: Extracting. Chapter 4: Cleaning and Conforming. Chapter 5: Delivering Dimension Tables. Chapter 6: Delivering Fact Tables. Part III: Implementation and operations. Chapter 7: Development. Chapter 8: Operations. Chapter 9: Metadata. Chapter 10: Responsibilities. Part IV: Real Time Streaming ETL Systems. Chapter 11: Real-Time ETL Systems. Chapter 12: Conclusions. Index.