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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.
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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