ENGLISH

High-Performance Big-Data Analytics: Computing Systems and Approaches

Book information

Publisher
Springer International Publishing
Year
2015
ISBN
978-3-319-20743-8, 978-3-319-20744-5
DOI
10.1007/978-3-319-20744-5
Language
english
Format
PDF
Filesize
12 MB (12453159 bytes)
Series
Computer Communications and Networks
Edition
1
Pages
XXII, 428\443
Time added
2015-11-25 16:51:03

Description

This book presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics. Features: includes case studies and learning activities throughout the book and self-study exercises in every chapter; presents detailed case studies on social media analytics for intelligent businesses and on big data analytics (BDA) in the healthcare sector; describes the network infrastructure requirements for effective transfer of big data, and the storage infrastructurerequirements of applications which generate big data; examines real-time analytics solutions; introduces in-database processing and in-memory analytics techniques for data mining; discusses the use of mainframes for handling real-time big data and the latest types of data management systems for BDA; provides information on the use of cluster, grid and cloud computing systems for BDA; reviews the peer-to-peer techniques and tools and the common information visualization techniques, used in BDA.

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