High-Performance Big-Data Analytics - Computing Systems and Approaches (Hardcover, 1st ed. 2015)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Computer Communications and Networks
Release date:	October 2015
First published:	2015
Authors:	Pethuru Raj • Anupama Raman • Dhivya Nagaraj • Siddhartha Duggirala
Dimensions:	235 x 155 x 33mm (L x W x T)
Format:	Hardcover - Cloth over boards
Pages:	428
Edition:	1st ed. 2015
ISBN-13:	978-3-319-20743-8
Categories:	Books > Social sciences > Politics & government > Public administration Books > Computing & IT > Internet > Network computers Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design > General Books > Computing & IT > Applications of computing > Databases > General Promotions
LSN:	3-319-20743-1
Barcode:	9783319207438

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