"Managing Data in Motion" describes techniques that have been
developed for significantly reducing the complexity of managing
system interfaces and enabling scalable architectures. Author April
Reeve brings over two decades of experience to present a
vendor-neutral approach to moving data between computing
environments and systems. Readers will learn the techniques,
technologies, and best practices for managing the passage of data
between computer systems and integrating disparate data together in
an enterprise environment.
The average enterprise's computing environment is comprised of
hundreds to thousands computer systems that have been built,
purchased, and acquired over time. The data from these various
systems needs to be integrated for reporting and analysis, shared
for business transaction processing, and converted from one format
to another when old systems are replaced and new systems are
acquired.
The management of the "data in motion" in organizations is
rapidly becoming one of the biggest concerns for business and IT
management. Data warehousing and conversion, real-time data
integration, and cloud and "big data" applications are just a few
of the challenges facing organizations and businesses today.
"Managing Data in Motion" tackles these and other topics in a style
easily understood by business and IT managers as well as
programmers and architects.
Presents a vendor-neutral overview of the different technologies
and techniques for moving data between computer systems including
the emerging solutions for unstructured as well as structured data
typesExplains, in non-technical terms, the architecture and
components required to perform data integration Describes how to
reduce the complexity of managing system interfaces and enable a
scalable data architecture that can handle the dimensions of "Big
Data"
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