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Big Data Management and Processing (Paperback)
Loot Price: R1,502
Discovery Miles 15 020
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Big Data Management and Processing (Paperback)
Series: Chapman & Hall/CRC Big Data Series
Expected to ship within 12 - 19 working days
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From the Foreword: "Big Data Management and Processing is [a]
state-of-the-art book that deals with a wide range of topical
themes in the field of Big Data. The book, which probes many issues
related to this exciting and rapidly growing field, covers
processing, management, analytics, and applications... [It] is a
very valuable addition to the literature. It will serve as a source
of up-to-date research in this continuously developing area. The
book also provides an opportunity for researchers to explore the
use of advanced computing technologies and their impact on
enhancing our capabilities to conduct more sophisticated studies."
---Sartaj Sahni, University of Florida, USA "Big Data Management
and Processing covers the latest Big Data research results in
processing, analytics, management and applications. Both
fundamental insights and representative applications are provided.
This book is a timely and valuable resource for students,
researchers and seasoned practitioners in Big Data fields. --Hai
Jin, Huazhong University of Science and Technology, China Big Data
Management and Processing explores a range of big data related
issues and their impact on the design of new computing systems. The
twenty-one chapters were carefully selected and feature
contributions from several outstanding researchers. The book
endeavors to strike a balance between theoretical and practical
coverage of innovative problem solving techniques for a range of
platforms. It serves as a repository of paradigms, technologies,
and applications that target different facets of big data computing
systems. The first part of the book explores energy and resource
management issues, as well as legal compliance and quality
management for Big Data. It covers In-Memory computing and
In-Memory data grids, as well as co-scheduling for high performance
computing applications. The second part of the book includes
comprehensive coverage of Hadoop and Spark, along with security,
privacy, and trust challenges and solutions. The latter part of the
book covers mining and clustering in Big Data, and includes
applications in genomics, hospital big data processing, and
vehicular cloud computing. The book also analyzes funding for Big
Data projects.
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