Distributed Computing in Big Data Analytics: Concepts, Technologies and Applications - Couverture souple

9783319867137: Distributed Computing in Big Data Analytics: Concepts, Technologies and Applications

Couverture souple

ISBN 10 : 331986713X ISBN 13 : 9783319867137

Editeur : Springer, 2018

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Addresses key concepts and patterns of distributed computing to provide practitioners with insight while designing big data analytics use cases

Details how different big data technologies leverage those key concepts and patterns of distributed computing

Includes applications, such as IoT, cognitive analytics, social media analytics and scientific data analytics

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer
Date d'�dition: 2018
Langue: anglais
ISBN 10: 331986713X
ISBN 13: 9783319867137
Reliure: Broch�
Nombre de pages: 172
�diteur: Mazumder Sourav, Singh Bhadoria Robin, Deka Ganesh Chandra
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9783319598338: Distributed Computing in Big Data Analytics

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ISBN 10 : 3319598333 ISBN 13 : 9783319598338
Editeur : Springer, 2017
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Distributed Computing in Big Data Analytics

Mazumder, Sourav|Singh Bhadoria, Robin|Deka, Ganesh Chandra

Edit� par Springer International Publishing, 2018

ISBN 10 : 331986713X ISBN 13 : 9783319867137

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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Big data technologies are used to achieve any type of analytics in a fast and predictable way, thus enabling better human and machine level decision making. Principles of distributed computing are the keys to big data technologies and analytics. The mech. N� de r�f. du vendeur 448760120

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Distributed Computing in Big Data Analytics : Concepts, Technologies and Applications

Sourav Mazumder

Edit� par Springer International Publishing, Springer International Publishing, 2018

ISBN 10 : 331986713X ISBN 13 : 9783319867137

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Big data technologies are used to achieve any type of analytics in a fast and predictable way, thus enabling better human and machine level decision making. Principles of distributed computing are the keys to big data technologies and analytics. The mechanisms related to data storage, data access, data transfer, visualization and predictive modeling using distributed processing in multiple low cost machines are the key considerations that make big data analytics possible within stipulated cost and time practical for consumption by human and machines. However, the current literature available in big data analytics needs a holistic perspective to highlight the relation between big data analytics and distributed processing for ease of understanding and practitioner use.This book fills the literature gap by addressing key aspects of distributed processing in big data analytics. The chapters tackle the essential concepts and patterns of distributed computing widely used in big data analytics. This book discusses also covers the main technologies which support distributed processing. Finally, this book provides insight into applications of big data analytics, highlighting how principles of distributed computing are used in those situations. Practitioners and researchers alike will find this book a valuable tool for their work, helping them to select the appropriate technologies, while understanding the inherent strengths and drawbacks of those technologies. N� de r�f. du vendeur 9783319867137

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Distributed Computing in Big Data Analytics

Sourav Mazumder

Edit� par Springer International Publishing Aug 2018, 2018

ISBN 10 : 331986713X ISBN 13 : 9783319867137

Neuf Taschenbuch

impression � la demande

Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Big data technologies are used to achieve any type of analytics in a fast and predictable way, thus enabling better human and machine level decision making. Principles of distributed computing are the keys to big data technologies and analytics. The mechanisms related to data storage, data access, data transfer, visualization and predictive modeling using distributed processing in multiple low cost machines are the key considerations that make big data analytics possible within stipulated cost and time practical for consumption by human and machines. However, the current literature available in big data analytics needs a holistic perspective to highlight the relation between big data analytics and distributed processing for ease of understanding and practitioner use.This book fills the literature gap by addressing key aspects of distributed processing in big data analytics. The chapters tackle the essential concepts and patterns of distributed computing widely used in big data analytics. This book discusses also covers the main technologies which support distributed processing. Finally, this book provides insight into applications of big data analytics, highlighting how principles of distributed computing are used in those situations. Practitioners and researchers alike will find this book a valuable tool for their work, helping them to select the appropriate technologies, while understanding the inherent strengths and drawbacks of those technologies. 172 pp. Englisch. N� de r�f. du vendeur 9783319867137

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Distributed Computing in Big Data Analytics

Sourav Mazumder

Edit� par Springer International Publishing, Springer International Publishing Aug 2018, 2018

ISBN 10 : 331986713X ISBN 13 : 9783319867137

Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. Neuware -Big data technologies are used to achieve any type of analytics in a fast and predictable way, thus enabling better human and machine level decision making. Principles of distributed computing are the keys to big data technologies and analytics. The mechanisms related to data storage, data access, data transfer, visualization and predictive modeling using distributed processing in multiple low cost machines are the key considerations that make big data analytics possible within stipulated cost and time practical for consumption by human and machines. However, the current literature available in big data analytics needs a holistic perspective to highlight the relation between big data analytics and distributed processing for ease of understanding and practitioner use.This book fills the literature gap by addressing key aspects of distributed processing in big data analytics. The chapters tackle the essential concepts and patterns of distributed computing widely used in big data analytics. This book discusses also covers the main technologies which support distributed processing. Finally, this book provides insight into applications of big data analytics, highlighting how principles of distributed computing are used in those situations.Practitioners and researchers alike will find this book a valuable tool for their work, helping them to select the appropriate technologies, while understanding the inherent strengths and drawbacks of those technologies.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 172 pp. Englisch. N� de r�f. du vendeur 9783319867137

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