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The Data Warehouse ETL Toolkit

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The Data Warehouse ETL Toolkit

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Description
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 you'll 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
Product details
Binding:
Paperback
Edition:
1
Number of Pages:
491
Release Date:
2004-09-24
Publication Date:
2004-10-04
Publisher:
Wiley
Languages:
Original: English
ISBN10:
81265055400764567578
ISBN13:
9780764567575
GPSR Manufacturer Reference:
Weight:
786 g
Height:
187 cm
Width:
234 cm
Thickness:
37 cm

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The items bear minimal signs of past use, such as light scratches or memories in the form of markings. These signs of wear give the items a charming character and tell stories of their previous owners, while not affecting their functionality.
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