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High-Performance Big-Data Analytics: Computing Systems and Approaches - Siddhartha Duggirala,Dhivya Nagaraj,Pethuru Raj,Anupama Raman

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2015-10-28
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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 th ... Visas aprašymas

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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.

Daugiau informacijos

Autorius Siddhartha Duggirala, Dhivya Nagaraj, Pethuru Raj, Anupama Raman
Leidėjas Springer Nature Switzerland
Series Computer Communications and Networks
Išleidimo metai 2015
Viršelio tipas Kieti viršeliai
EAN 9783319207438
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127,04 € 169,38 €