High-Performance Big-Data Analytics
Computing Systems and Approaches

Authors: Pethuru Raj, Anupama Raman, Dhivya Nagaraj, Siddhartha Duggirala



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

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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