High-Performance Big-Data Analytics

Computing Systems and Approaches de

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Éditeur :

Springer


Collection :

Computer Communications and Networks

Paru le : 2015-10-16

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Description
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.
Pages
428 pages
Collection
Computer Communications and Networks
Parution
2015-10-16
Marque
Springer
EAN papier
9783319207438
EAN PDF
9783319207445

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
42
Taille du fichier
12288 Ko
Prix
94,94 €
EAN EPUB
9783319207445

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
42
Taille du fichier
7762 Ko
Prix
94,94 €