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020 _a9783319253138
_z978-3-319-25313-8
024 7 _a10.1007/978-3-319-25313-8
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040 _aTR-AnTOB
_beng
_cTR-AnTOB
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050 4 _aQA276-280
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245 1 0 _aBig-Data Analytics and Cloud Computing :
_bTheory, Algorithms and Applications /
_cedited by Marcello Trovati, Richard Hill, Ashiq Anjum, Shao Ying Zhu, Lu Liu.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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520 _aThis 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 Hillas 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.
650 0 _aComputer science.
650 0 _aComputer Communication Networks.
650 0 _aComputer simulation.
650 1 4 _aProbability and Statistics in Computer Science.
_0http://scigraph.springernature.com/things/product-market-codes/I17036
650 2 4 _aComputer Communication Networks.
_0http://scigraph.springernature.com/things/product-market-codes/I13022
650 2 4 _aSimulation and Modeling.
_0http://scigraph.springernature.com/things/product-market-codes/I19000
650 2 4 _aMath Applications in Computer Science.
_0http://scigraph.springernature.com/things/product-market-codes/I17044
700 1 _aTrovati, Marcello.
_eeditor.
_0(orcid)0000-0001-6607-422X
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aHill, Richard.
_eeditor.
_0(orcid)0000-0003-0105-7730
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aAnjum, Ashiq.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aZhu, Shao Ying.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLiu, Lu.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
856 4 0 _3Springer eBooks
_zOnline access link to the resource
_uhttps://doi.org/10.1007/978-3-319-25313-8
942 _2lcc
_cEBK
041 _aeng