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Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	März 2018
Genre:	EDV / Informatik
	B / Computer Communication Networks / Computer communication systems / Computer modelling & simulation / computer science / Computer science—Mathematics / Computer simulation / Math Applications in Computer Science / Mathematical & statistical software / Mathematical Applications in Computer Science / Mathematical statistics / Maths for computer scientists / Network hardware / Probability and Statistics in Computer Science / Simulation and Modeling mehr...
ISBN:	9783319797670
EAN-Code:	9783319797670
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	296 gr
Seiten:	169
Illustration:	XVI, 169 p. 67 illus. in color., farbige Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This important and timely text/reference reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science. Topics and features: Describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures Examines the applications and implementations that utilize big data in cloud architectures Surveys the state of the art in architectural approaches to the provision of cloud-based big data analytics functions Identifies potential research directions and technologies to facilitate the realization of emerging business models through big data approaches Provides relevant theoretical frameworks, empirical research findings, and numerous case studies Discusses real-world applications of algorithms and techniques to address the challenges of big datasets This authoritative volume will be of great interest to researchers, enterprise architects, business analysts, IT infrastructure managers and application developers, who will benefit from the valuable insights offered into the adoption of architectures for big data and cloud computing. The work is also suitable as a textbook for university instructors, with the outline for a possible course structure suggested in the preface.  The editors are all members of the Computing and Mathematics Department at the University of Derby, UK, where  Dr. Marcello Trovati  serves as a Senior Lecturer in Mathematics,  Dr. Richard Hill as a Professor and Head of the Computing and Mathematics Department,  Dr. Ashiq Anjum  as a Professor of Distributed Computing,  Dr. Shao Ying Zhu  as a Senior Lecturer in Computing, and  Dr. Lu Liu  as a Professor of Distributed Computing. The other publications of the editors include the Springer titles  Guide to Security Assurance for Cloud Computing ,  Guide to Cloud Computing   and Cloud Computing for Enterprise Architectures .