The Data Warehouse�ETL Toolkit : Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data Paperback - 2004
by Ralph Kimball; Joe Caserta
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- Title The Data Warehouse�ETL Toolkit : Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data
- Author Ralph Kimball; Joe Caserta
- Binding Paperback
- Edition INTERNATIONAL ED
- Condition Used - Good
- Pages 491
- Volumes 1
- Language ENG
- Publisher Wiley & Sons, Incorporated, John, Indianapolis, IN
- Publication date 2004
- Features Index, Table of Contents
- Bookseller's Inventory # G0764567578I3N00
- ISBN 9780764567575 / 0764567578
- Weight 1.72 lbs (0.78 kg)
- Dimensions 9.2 x 7.38 x 1.1 in (23.37 x 18.75 x 2.79 cm)
- Category Computers - Data Base Management
- Library of Congress subjects Database design, Data warehousing
- Library of Congress Catalogue Number 2004016909
- Dewey Decimal Code 005.74
- Quantity available 11
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From the publisher
First line
Ideally, you must start the design of your ETL system with one of the toughest challenges: surrounding the requirements.
From the rear cover
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
