Emerging Trends and Transformations in the IT Landscape High Performance Technologies for Big- and Fast-Data Analytics Big- and Fast-Data Analytics for High-Performance Computing Network Infrastructure for High-Performance Big-Data Analytics Storage Infrastructure for High-Performance Big-Data Analytics Real-Time Analytics using High-Performance Computing High-Performance Computing Paradigms In-Database Processing and In-Memory Analytics High-Performance Integrated Systems, Databases and Warehouses for Big- and Fast-Data Analytics Cluster and Grid Computing Paradigms High-Performance Peer-to-Peer Systems Visualization Dimensions for High-Performance Big-Data Analytics Social Media Analytics for Organization Empowerment Big-Data Analytics for Healthcare.

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.