Data Intensive Computing Applications for Big Data

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Éditeur :

SAGE Publications Ltd


Paru le : 2018-01-15

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97,84

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Description
The book ‘Data Intensive Computing Applications for Big Data’ discusses the technical concepts of big data, data intensive computing through machine learning, soft computing and parallel computing paradigms. It brings together researchers to report their latest results or progress in the development of the above mentioned areas. Since there are few books on this specific subject, the editors aim to provide a common platform for researchers working in this area to exhibit their novel findings. The book is intended as a reference work for advanced undergraduates and graduate students, as well as multidisciplinary, interdisciplinary and transdisciplinary research workers and scientists on the subjects of big data and cloud/parallel and distributed computing, and explains didactically many of the core concepts of these approaches for practical applications. It is organized into 24 chapters providing a comprehensive overview of big data analysis using parallel computing and addresses the complete data science workflow in the cloud, as well as dealing with privacy issues and the challenges faced in a data-intensive cloud computing environment. The book explores both fundamental and high-level concepts, and will serve as a manual for those in the industry, while also helping beginners to understand the basic and advanced aspects of big data and cloud computing.
Pages
620 pages
Collection
n.c
Parution
2018-01-15
Marque
SAGE Publications Ltd
EAN papier
9781614998136
EAN PDF
9781614998143

Informations sur l'ebook
Nombre pages copiables
31
Nombre pages imprimables
31
Taille du fichier
45701 Ko
Prix
97,84 €

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