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Books > Computing & IT > Applications of computing > Databases > Data warehousing
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Data Resource Integration - Understanding & Resolving a Disparate Data Resource (Paperback)
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Data Resource Integration - Understanding & Resolving a Disparate Data Resource (Paperback)
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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 organisations 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.
This book explains how to go about understanding and resolving a
disparate data resource and creating a comparate data resource that
fully meets an organisation'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 organisations. 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.
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