Viral Data in SOA: An Enterprise Pandemic by Neal A. Fishman ; Don Whitecar

Viral Data in SOA: An Enterprise Pandemic

by Neal A. Fishman ; Don Whitecar

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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

Viral Data in SOA provides that blueprint.

Coverage Includes

<P style="MARGIN: 0px * Why poor-quality data in SOA can be dangerous to an organization

<P style="MARGIN: 0px * Practical solutions for assessing, improving, and sustaining trusted information

<P style="MARGIN: 0px * Why data governance is so critical - and realistic models for implementing it

<P style="MARGIN: 0px * Benefits of data provenance

<P style="MARGIN: 0px * Why business data is a form of metadata

<P style="MARGIN: 0px * Programming and database design techniques to improve data quality

<P style="MARGIN: 0px

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
Published

11 Aug 2009

Publisher

QUE

ISBN

9780137001804

Pages

240

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