Viral Data in SOA An Enterprise Pandemic
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Viral Data in SOA An Enterprise Pandemic Viral Data in SOA An Enterprise Pandemic nbsp ldquo 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 rdquo ndash Kevin Downey Senior Partner Xteoma Inc Canada nbsp ldquo Neal Fishman rsquo 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 rsquo s increasingly complex information architectures rdquo ndash Thomas Buehlmann Ph D Senior Manager Accenture United States nbsp Ensure the Reliability of the Data Your SOA Environment Depends Upon nbsp 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 nbsp Leading IBM information forensics expert Neal Fishman helps you identify the unique challenges of data quality in your SOA environment ndash 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 nbsp Coverage Includes nbsp bull Why poor quality data in SOA can be dangerous to an organization bull Practical solutions for assessing improving and sustaining trusted information bull Why data governance is so critical ndash and realistic models for implementing it bull Benefits of data provenance bull Why business data is a form of metadata bull Programming and database design techniques to improve data quality nbsp
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