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Distributed Computing in Big Data Analytics - Concepts, Technologies and Applications (Hardcover, 1st ed. 2017)
Loot Price: R4,320
Discovery Miles 43 200
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Distributed Computing in Big Data Analytics - Concepts, Technologies and Applications (Hardcover, 1st ed. 2017)
Series: Scalable Computing and Communications
Expected to ship within 12 - 17 working days
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Big data technologies are used to achieve any type of analytics in
a fast and predictable way, thus enabling better human and machine
level decision making. Principles of distributed computing are the
keys to big data technologies and analytics. The mechanisms related
to data storage, data access, data transfer, visualization and
predictive modeling using distributed processing in multiple low
cost machines are the key considerations that make big data
analytics possible within stipulated cost and time practical for
consumption by human and machines. However, the current literature
available in big data analytics needs a holistic perspective to
highlight the relation between big data analytics and distributed
processing for ease of understanding and practitioner use. This
book fills the literature gap by addressing key aspects of
distributed processing in big data analytics. The chapters tackle
the essential concepts and patterns of distributed computing widely
used in big data analytics. This book discusses also covers the
main technologies which support distributed processing. Finally,
this book provides insight into applications of big data analytics,
highlighting how principles of distributed computing are used in
those situations. Practitioners and researchers alike will find
this book a valuable tool for their work, helping them to select
the appropriate technologies, while understanding the inherent
strengths and drawbacks of those technologies.
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