With the advent of technology, the daily activities like interaction with smart cities, social media engagement, generate huge amount of big data. The 5V’S of big data makes its management an enormous task. Hence big data management in cloud as well as provisioning of big data analytics as a service i.e. Analytics-as-a-Service (AaaS) in cloud, is a challenging task. The objective of this book is to propose a set of solutions, through the proposed medical assistance application, which takes into consideration the mobility of the user on road i.e. travelling by car or train. The proposed application offers service in three ways. It allows the user to - find suggested medicine by selecting his/her specific symptom and/or search medical shops to get that medicine, consult a doctor as per requirements and for getting location of hospitals nearby his present location. Location of medical shops or hospitals are displayed in levels – closest, closer and close-by with respect to distances. The proposed medical assistance application has been developed and tested in an android environment. In order to access the AaaS from the cloud, the application needs to be deployed in Google Play Store.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
With the advent of technology, the daily activities like interaction with smart cities, social media engagement, generate huge amount of big data. The 5V’S of big data makes its management an enormous task. Hence big data management in cloud as well as provisioning of big data analytics as a service i.e. Analytics-as-a-Service (AaaS) in cloud, is a challenging task. The objective of this book is to propose a set of solutions, through the proposed medical assistance application, which takes into consideration the mobility of the user on road i.e. travelling by car or train. The proposed application offers service in three ways. It allows the user to - find suggested medicine by selecting his/her specific symptom and/or search medical shops to get that medicine, consult a doctor as per requirements and for getting location of hospitals nearby his present location. Location of medical shops or hospitals are displayed in levels – closest, closer and close-by with respect to distances. The proposed medical assistance application has been developed and tested in an android environment. In order to access the AaaS from the cloud, the application needs to be deployed in Google Play Store.
Patralika Mitra received her B Tech degree in the stream of Computer Science and Engineering from West Bengal University of Technology in 2014 and her M Tech degree in the stream of Computer Science from Birla Institute of Technology, Mesra in 2016. Her research interests include Cloud Computing, Big Data and Smart City.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -With the advent of technology, the daily activities like interaction with smart cities, social media engagement, generate huge amount of big data. The 5V'S of big data makes its management an enormous task. Hence big data management in cloud as well as provisioning of big data analytics as a service i.e. Analytics-as-a-Service (AaaS) in cloud, is a challenging task. The objective of this book is to propose a set of solutions, through the proposed medical assistance application, which takes into consideration the mobility of the user on road i.e. travelling by car or train. The proposed application offers service in three ways. It allows the user to - find suggested medicine by selecting his/her specific symptom and/or search medical shops to get that medicine, consult a doctor as per requirements and for getting location of hospitals nearby his present location. Location of medical shops or hospitals are displayed in levels - closest, closer and close-by with respect to distances. The proposed medical assistance application has been developed and tested in an android environment. In order to access the AaaS from the cloud, the application needs to be deployed in Google Play Store. 124 pp. Englisch. N° de réf. du vendeur 9783659911170
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mitra PatralikaPatralika Mitra received her B Tech degree in the stream of Computer Science and Engineering from West Bengal University of Technology in 2014 and her M Tech degree in the stream of Computer Science from Birla Institut. N° de réf. du vendeur 158877725
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -With the advent of technology, the daily activities like interaction with smart cities, social media engagement, generate huge amount of big data. The 5V'S of big data makes its management an enormous task. Hence big data management in cloud as well as provisioning of big data analytics as a service i.e. Analytics-as-a-Service (AaaS) in cloud, is a challenging task. The objective of this book is to propose a set of solutions, through the proposed medical assistance application, which takes into consideration the mobility of the user on road i.e. travelling by car or train. The proposed application offers service in three ways. It allows the user to - find suggested medicine by selecting his/her specific symptom and/or search medical shops to get that medicine, consult a doctor as per requirements and for getting location of hospitals nearby his present location. Location of medical shops or hospitals are displayed in levels - closest, closer and close-by with respect to distances. The proposed medical assistance application has been developed and tested in an android environment. In order to access the AaaS from the cloud, the application needs to be deployed in Google Play Store.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch. N° de réf. du vendeur 9783659911170
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With the advent of technology, the daily activities like interaction with smart cities, social media engagement, generate huge amount of big data. The 5V'S of big data makes its management an enormous task. Hence big data management in cloud as well as provisioning of big data analytics as a service i.e. Analytics-as-a-Service (AaaS) in cloud, is a challenging task. The objective of this book is to propose a set of solutions, through the proposed medical assistance application, which takes into consideration the mobility of the user on road i.e. travelling by car or train. The proposed application offers service in three ways. It allows the user to - find suggested medicine by selecting his/her specific symptom and/or search medical shops to get that medicine, consult a doctor as per requirements and for getting location of hospitals nearby his present location. Location of medical shops or hospitals are displayed in levels - closest, closer and close-by with respect to distances. The proposed medical assistance application has been developed and tested in an android environment. In order to access the AaaS from the cloud, the application needs to be deployed in Google Play Store. N° de réf. du vendeur 9783659911170
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 124 pages. 8.66x5.91x0.28 inches. In Stock. N° de réf. du vendeur __3659911178
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Provisioning of Big Data Analytics in Cloud | Provisioning of Healthcare Analytics in Cloud | Patralika Mitra (u. a.) | Taschenbuch | 124 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659911170 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 103550395
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