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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 Cover

ISBN13: 9780764567575
ISBN10: 0764567578
Condition:
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Synopses & Reviews

Publisher Comments:

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

Book News Annotation:

The extract, transform, and load (ETL) phase of the data warehouse development life cycle is the most difficult phase of building a data warehouse. Kimball, a speaker on data warehousing, and Caserta, a data warehousing consultant, demonstrate the benefits of a properly designed ETL system and describe techniques for planning, designing, building, and running the "back room" of a data warehouse, covering both relational and dimensional ETL data structures.
Annotation ©2004 Book News, Inc., Portland, OR (booknews.com)

Synopsis:

  • 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

Synopsis:

Provides solutions to the most labour- and time-intensive part of data warehouse development - the Extract, Transform, and Load (ETL) process.

About the Author

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.

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.

What Our Readers Are Saying

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Average customer rating based on 2 comments:

pranambiar, September 23, 2008 (view all comments by pranambiar)
Use Data Warehouse ETL , gain your gold mine knowlegde on data warehousing .
Was this comment helpful? | Yes | No
(1 of 3 readers found this comment helpful)
sai_dwh, May 22, 2007 (view all comments by sai_dwh)
how is this book, how can help this book i am leraner
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(3 of 9 readers found this comment helpful)
View all 2 comments

Product Details

ISBN:
9780764567575
Author:
KIMBALL
Publisher:
John Wiley & Sons
Author:
Caserta, Joe
Location:
N
Subject:
Database Management - General
Subject:
Data warehousing
Subject:
Database design
Subject:
Database & Data Warehousing Technologies
Copyright:
Edition Description:
WebSite Associated w/Book
Publication Date:
October 2004
Binding:
TRADE PAPER
Grade Level:
Professional and scholarly
Language:
English
Illustrations:
Y
Pages:
528
Dimensions:
9.20x7.38x1.10 in. 1.72 lbs.

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Travel » General

The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data New Trade Paper
0 stars - 0 reviews
$45.75 In Stock
Product details 528 pages John Wiley & Sons - English 9780764567575 Reviews:
"Synopsis" by ,
  • 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
"Synopsis" by , Provides solutions to the most labour- and time-intensive part of data warehouse development - the Extract, Transform, and Load (ETL) process.
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