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High-Performance Big-Data Analytics

Computing Systems and Approaches

  • Book
  • © 2015

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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Table of contents (14 chapters)

Keywords

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.

Authors and Affiliations

  • IBM India, Bangalore, India

    Pethuru Raj, Anupama Raman, Dhivya Nagaraj

  • Indian Institute of Technology, Indore, India

    Siddhartha Duggirala

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