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Large Scale and Big Data - Processing and Management (Paperback)
Loot Price: R1,635
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Large Scale and Big Data - Processing and Management (Paperback)
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Large Scale and Big Data: Processing and Management provides
readers with a central source of reference on the data management
techniques currently available for large-scale data processing.
Presenting chapters written by leading researchers, academics, and
practitioners, it addresses the fundamental challenges associated
with Big Data processing tools and techniques across a range of
computing environments. The book begins by discussing the basic
concepts and tools of large-scale Big Data processing and cloud
computing. It also provides an overview of different programming
models and cloud-based deployment models. The book's second section
examines the usage of advanced Big Data processing techniques in
different domains, including semantic web, graph processing, and
stream processing. The third section discusses advanced topics of
Big Data processing such as consistency management, privacy, and
security. Supplying a comprehensive summary from both the research
and applied perspectives, the book covers recent research
discoveries and applications, making it an ideal reference for a
wide range of audiences, including researchers and academics
working on databases, data mining, and web scale data processing.
After reading this book, you will gain a fundamental understanding
of how to use Big Data-processing tools and techniques effectively
across application domains. Coverage includes cloud data management
architectures, big data analytics visualization, data management,
analytics for vast amounts of unstructured data, clustering,
classification, link analysis of big data, scalable data mining,
and machine learning techniques.
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