High-Performance Big-Data Analytics: Computing Systems and Approaches (Computer Communications and Networks)

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.

本書詳細介紹了下一代大數據和快速數據分析的高性能計算基礎設施。特點包括：書中包含案例研究和學習活動，以及每章的自學練習；詳細介紹了智能企業社交媒體分析和醫療保健領域的大數據分析案例研究；描述了有效傳輸大數據所需的網絡基礎設施和生成大數據應用程序所需的存儲基礎設施；探討了實時分析解決方案；介紹了數據挖掘的數據庫內處理和內存分析技術；討論了處理實時大數據的大型機和最新的大數據管理系統的使用；提供了有關使用集群、網格和雲計算系統進行大數據分析的信息；回顧了點對點技術和工具以及在大數據分析中常用的信息可視化技術。