Viral Data in SOA: An Enterprise Pandemic

Viral Data in SOA

An Enterprise Pandemic

“This book is a must read for any organization using data-integration or data-interchange technologies, or simply any organization that must trust data. Neal takes the reader through an entertaining and vital journey of SOA information management issues, risks, discovery, and solutions. He provides a fresh perspective that no corporation should overlook; in fact, corporations might head blindly into SOA implementations without this awareness.”

–Kevin Downey, Senior Partner, Xteoma Inc., Canada

“Neal Fishman’s book on the viral affects of data is a much-needed warning signal for a time when critical consideration of risk and impact take a backseat in the thrive to integrate and apply new technologies. This book alerts its readers of potential risks and indicates how these can be minimized in real-world implementations. A must read for all decision makers for today’s increasingly complex information architectures.”

–Thomas Buehlmann, Ph.D., Senior Manager, Accenture, United States

Ensure the Reliability of the Data Your SOA Environment Depends Upon

Service-oriented environments can share data more widely and rapidly than ever before. Incorrect data can easily trigger inappropriate actions, prevent urgent actions from being taken, disrupt customer transactions and relationships, generate compliance problems, and damage business performance. Companies need a comprehensive blueprint for ensuring data reliability in their SOA environments. Viral Data in SOA provides that blueprint.

Leading IBM information forensics expert Neal Fishman helps you identify the unique challenges of data quality in your SOA environment–and implement solutions that deliver the best results for the long term at the lowest cost. Writing for both business and technical professionals, Fishman shows how to think about data quality on a risk/reward basis...establishing an effective data governance initiative...how to evaluate data quality, and overcome its inevitable decay...and, last but not least, how to actually derive a data quality initiative that works.

Coverage Includes

• Why poor-quality data in SOA can be dangerous to an organization

• Practical solutions for assessing, improving, and sustaining trusted information

• Why data governance is so critical–and realistic models for implementing it

• Benefits of data provenance

• Why business data is a form of metadata

• Programming and database design techniques to improve data quality

1101910382
Viral Data in SOA: An Enterprise Pandemic

Viral Data in SOA

An Enterprise Pandemic

“This book is a must read for any organization using data-integration or data-interchange technologies, or simply any organization that must trust data. Neal takes the reader through an entertaining and vital journey of SOA information management issues, risks, discovery, and solutions. He provides a fresh perspective that no corporation should overlook; in fact, corporations might head blindly into SOA implementations without this awareness.”

–Kevin Downey, Senior Partner, Xteoma Inc., Canada

“Neal Fishman’s book on the viral affects of data is a much-needed warning signal for a time when critical consideration of risk and impact take a backseat in the thrive to integrate and apply new technologies. This book alerts its readers of potential risks and indicates how these can be minimized in real-world implementations. A must read for all decision makers for today’s increasingly complex information architectures.”

–Thomas Buehlmann, Ph.D., Senior Manager, Accenture, United States

Ensure the Reliability of the Data Your SOA Environment Depends Upon

Service-oriented environments can share data more widely and rapidly than ever before. Incorrect data can easily trigger inappropriate actions, prevent urgent actions from being taken, disrupt customer transactions and relationships, generate compliance problems, and damage business performance. Companies need a comprehensive blueprint for ensuring data reliability in their SOA environments. Viral Data in SOA provides that blueprint.

Leading IBM information forensics expert Neal Fishman helps you identify the unique challenges of data quality in your SOA environment–and implement solutions that deliver the best results for the long term at the lowest cost. Writing for both business and technical professionals, Fishman shows how to think about data quality on a risk/reward basis...establishing an effective data governance initiative...how to evaluate data quality, and overcome its inevitable decay...and, last but not least, how to actually derive a data quality initiative that works.

Coverage Includes

• Why poor-quality data in SOA can be dangerous to an organization

• Practical solutions for assessing, improving, and sustaining trusted information

• Why data governance is so critical–and realistic models for implementing it

• Benefits of data provenance

• Why business data is a form of metadata

• Programming and database design techniques to improve data quality

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Viral Data in SOA: An Enterprise Pandemic

Viral Data in SOA: An Enterprise Pandemic

Viral Data in SOA: An Enterprise Pandemic

Viral Data in SOA: An Enterprise Pandemic

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Overview

Viral Data in SOA

An Enterprise Pandemic

“This book is a must read for any organization using data-integration or data-interchange technologies, or simply any organization that must trust data. Neal takes the reader through an entertaining and vital journey of SOA information management issues, risks, discovery, and solutions. He provides a fresh perspective that no corporation should overlook; in fact, corporations might head blindly into SOA implementations without this awareness.”

–Kevin Downey, Senior Partner, Xteoma Inc., Canada

“Neal Fishman’s book on the viral affects of data is a much-needed warning signal for a time when critical consideration of risk and impact take a backseat in the thrive to integrate and apply new technologies. This book alerts its readers of potential risks and indicates how these can be minimized in real-world implementations. A must read for all decision makers for today’s increasingly complex information architectures.”

–Thomas Buehlmann, Ph.D., Senior Manager, Accenture, United States

Ensure the Reliability of the Data Your SOA Environment Depends Upon

Service-oriented environments can share data more widely and rapidly than ever before. Incorrect data can easily trigger inappropriate actions, prevent urgent actions from being taken, disrupt customer transactions and relationships, generate compliance problems, and damage business performance. Companies need a comprehensive blueprint for ensuring data reliability in their SOA environments. Viral Data in SOA provides that blueprint.

Leading IBM information forensics expert Neal Fishman helps you identify the unique challenges of data quality in your SOA environment–and implement solutions that deliver the best results for the long term at the lowest cost. Writing for both business and technical professionals, Fishman shows how to think about data quality on a risk/reward basis...establishing an effective data governance initiative...how to evaluate data quality, and overcome its inevitable decay...and, last but not least, how to actually derive a data quality initiative that works.

Coverage Includes

• Why poor-quality data in SOA can be dangerous to an organization

• Practical solutions for assessing, improving, and sustaining trusted information

• Why data governance is so critical–and realistic models for implementing it

• Benefits of data provenance

• Why business data is a form of metadata

• Programming and database design techniques to improve data quality


Product Details

ISBN-13: 9780137001804
Publisher: IBM Press
Publication date: 07/20/2009
Series: IBM Press Series
Pages: 288
Product dimensions: 6.20(w) x 9.20(h) x 0.50(d)

About the Author

Neal Fishman is the program director for information and integration forensics within IBM’s Information Management’s Technical Architecture Group. He has been involved in many aspects of information technology and has developed many unique perspectives throughout his career.

Neal is also a co-author of the textbook Enterprise Architecture Using the Zachman Framework, and has been a distance-learning instructor for the University of Washington. In addition, Neal has served on several committees for international technology standards and as a board member of the Data Management Association (DAMA) Atlanta chapter.

Table of Contents

Foreword: Timothy Davis xvii

Foreword: Kamal Bherwani xxi

Preface xxv

Acknowledgments xxix

About the Author xxxi

Definition: Viral Data xxxiii

Prelude xxxv

Introduction 1

Chapter 1 Viral Data 15

Chapter 2 Data Governance 45

Chapter 3 Reference Model 71

Chapter 4 Assessing the Damage 103

Chapter 5 Data Conditioning 139

Chapter 6 Putting in Place 173

Epilogue 209

Bibliography 211

Index 223

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