Titre: High-Performance Big-Data Analytics: Computing Systems and Approaches (Computer Communications and Networks)
�diteur: Springer
Date de parution: 2016
Langue: anglais
ISBN � 10 chiffres: 3319363247
ISBN � 13 chiffres: 9783319363240
Reliure: Couverture souple
�tat de l'article: New

A propos de ce titre

Synopsis

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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