Overview
- Vividly illustrates the benefits of using high-performance infrastructures for next-generation data analytics
- Provides numerous and varied case studies and examples of best practice
- Includes learning activities throughout the book and self-study exercises at the end of every chapter
Part of the book series: Computer Communications and Networks (CCN)
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About this book
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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Keywords
Table of contents (14 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: High-Performance Big-Data Analytics
Book Subtitle: Computing Systems and Approaches
Authors: Pethuru Raj, Anupama Raman, Dhivya Nagaraj, Siddhartha Duggirala
Series Title: Computer Communications and Networks
DOI: https://doi.org/10.1007/978-3-319-20744-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-20743-8Published: 28 October 2015
Softcover ISBN: 978-3-319-36324-0Published: 23 August 2016
eBook ISBN: 978-3-319-20744-5Published: 16 October 2015
Series ISSN: 1617-7975
Series E-ISSN: 2197-8433
Edition Number: 1
Number of Pages: XXII, 428
Topics: Computer Communication Networks, Information Systems Applications (incl. Internet), Computer Appl. in Administrative Data Processing, Processor Architectures