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

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

Paperback

Series: Computer Communications and Networks

General ComputersNetworking

ISBN10: 3319363247
ISBN13: 9783319363240
Publisher: Springer Nature
Published: Aug 23 2016
Pages: 428
Weight: 1.38
Height: 0.91 Width: 6.14 Depth: 9.21
Language: English
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 infrastructure requirements 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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