Pethuru Raj & Anupama Raman 
High-Performance Big-Data Analytics [PDF ebook] 
Computing Systems and Approaches

Wsparcie
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.
€96.29
Metody Płatności

Spis treści

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.

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Język Angielski ● Format PDF ● Strony 428 ● ISBN 9783319207445 ● Rozmiar pliku 12.6 MB ● Wydawca Springer International Publishing ● Miasto Cham ● Kraj CH ● Opublikowany 2015 ● Do pobrania 24 miesięcy ● Waluta EUR ● ID 4580583 ● Ochrona przed kopiowaniem Społeczny DRM

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