Data Resource Integration : Understanding and Resolving a Disparate Data Resource

Michael Brackett

ISBN 10: 1935504231 / ISBN 13: 9781935504238

Editore: Technics Publications, 2012

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nach der Bestellung gedruckt Neuware - Printed after ordering - Are you struggling with a disparate data resource Are there multiple existences of the same business fact scattered throughout the data resource Are those multiple existences out of synch with each other Do you have difficulty finding the data you need to support business activities Do the data you find have poor quality If the answer to any of these questions is Yes, then you need this book to guide you toward creating an integrated data resource.Most public and private sector organizations have a disparate data resource that was created over many years. That disparate data resource contains multiple existences of business facts that are out of synch with each other, are of poor quality, and are difficult to locate. The traditional approach to dealing with a disparate data resource is to perform periodic and temporary data integration to support a specific application or business activity. Those piecemeal data integration efforts may meet a current need, but seldom solve the underlying problems with a disparate data resource, and sometimes make the situation worse. Data Resource Integration explains how to go about understanding and resolving a disparate data resource and creating a comparate data resource that fully meets an organization's current and future business information demand. It builds on Data Resource Simplexity, which described how to stop the burgeoning data disparity. It explains the concepts, principles, and techniques for understanding a disparate data resource within the context of a common data architecture, and resolving that disparity with minimum impact on the business. Like Data Resource Simplexity, Michael Brackett draws on five decades of data management experience building and managing data resources, and resolving disparate data resources in both public and private sector organizations. He leverages theories, concepts, principles, and techniques from a wide variety of disciplines, such as human dynamics, mathematics, physics, chemistry, and biology, and applies them to the process of understanding and resolving a disparate data resource. He shows you how to approach and resolve a disparate data resource, and build a comparate data resource that fully supports the business.

Codice articolo 9781935504238

Dati bibliografici

• Titolo: Data Resource Integration : Understanding and Resolving a Disparate Data Resource
• Editore: Technics Publications
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 1935504231
• ISBN 13: 9781935504238
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 254 L x 178 A x 31 P (millimetri) 254 millimetri di larghezza per 178 millimetri di altezza per 31 millimetri di profondità
• Peso: 1080 grammi

Descrizione articolo

Riassunto

Are you struggling with a disparate data resource? Are there multiple existences of the same business fact scattered throughout the data resource? Are those multiple existences out of synch with each other? Do you have difficulty finding the data you need to support business activities? Do the data you find have poor quality? If the answer to any of these questions is Yes, then you need this book to guide you toward creating an integrated data resource.

Most public and private sector organizations have a disparate data resource that was created over many years. That disparate data resource contains multiple existences of business facts that are out of synch with each other, are of poor quality, and are difficult to locate. The traditional approach to dealing with a disparate data resource is to perform periodic and temporary data integration to support a specific application or business activity. Those piecemeal data integration efforts may meet a current need, but seldom solve the underlying problems with a disparate data resource, and sometimes make the situation worse.

Data Resource Integration explains how to go about understanding and resolving a disparate data resource and creating a comparate data resource that fully meets an organization's current and future business information demand. It builds on Data Resource Simplexity, which described how to stop the burgeoning data disparity. It explains the concepts, principles, and techniques for understanding a disparate data resource within the context of a common data architecture, and resolving that disparity with minimum impact on the business.

Like Data Resource Simplexity, Michael Brackett draws on five decades of data management experience building and managing data resources, and resolving disparate data resources in both public and private sector organizations. He leverages theories, concepts, principles, and techniques from a wide variety of disciplines, such as human dynamics, mathematics, physics, chemistry, and biology, and applies them to the process of understanding and resolving a disparate data resource. He shows you how to approach and resolve a disparate data resource, and build a comparate data resource that fully supports the business.

Informazioni sull'autore

Michael Brackett has been in data management for nearly 50 years. During that time he has developed many innovative concepts, principles, and techniques for managing data. He has written seven books and numerous articles on data management. He is a prominent speaker at local, national, and international conferences. He has been a member of DAMA International since 1985 and established the DAMA International Foundation. He received DAMA International's Lifetime Achievement Award for his pioneering work in data resource management. He is semi-retired and lives in a log home that he built in the Olympic Mountains near Lilliwaup, Washington.