Articles liés à Hybrid Approach for Cloud Services Selection Adequate...
Hybrid Approach for Cloud Services Selection Adequate to Big Data: Fuzzy Analytical Hierarchy Process (FAHP) Using Geometric Mean Method to Select Best Processing Framework - Couverture souple
Synopsis
Big data needs large storage capacity and strong processing frameworks for cleaning, processing, and analysis. Fortunately, cloud computing offers many services and processing frameworks that facilitate storage and processing of big data. But the issue here is how to choose the best suited processing framework adequate to big data of the financial services.we used MCDM methods to solve this decision problem and to evaluate five big data processing frameworks (Spark, Hadoop, Flink, Storm, and Samza) based on twelve criteria. <div><p>Big data needs large storage capacity and strong processing frameworks for cleaning, processing, and analysis. Fortunately, cloud computing offers many services and processing frameworks that facilitate storage and processing of big data. But the issue here is how to choose the best suited processing framework adequate to big data of the financial services.we used MCDM methods to solve this decision problem and to evaluate five big data processing frameworks (Spark, Hadoop, Flink, Storm, and Samza) based on twelve criteria. </p></div>
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Résultats de recherche pour Hybrid Approach for Cloud Services Selection Adequate...
Image fournie par le vendeur
Hybrid Approach for Cloud Services Selection Adequate to Big Data
Edité par
LAP LAMBERT Academic Publishing Mai 2021, 2021
ISBN 10 : 6203029149
ISBN 13 : 9786203029147
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Big data needs large storage capacity and strong processing frameworks for cleaning, processing, and analysis. Fortunately, cloud computing offers many services and processing frameworks that facilitate storage and processing of big data. But the issue here is how to choose the best suited processing framework adequate to big data of the financial services.we used MCDM methods to solve this decision problem and to evaluate five big data processing frameworks (Spark, Hadoop, Flink, Storm, and Samza) based on twelve criteria. Big data needs large storage capacity and strong processing frameworks for cleaning, processing, and analysis. Fortunately, cloud computing offers many services and processing frameworks that facilitate storage and processing of big data. But the issue here is how to choose the best suited processing framework adequate to big data of the financial services.we used MCDM methods to solve this decision problem and to evaluate five big data processing frameworks (Spark, Hadoop, Flink, Storm, and Samza) based on twelve criteria. 112 pp. Englisch. N° de réf. du vendeur 9786203029147
Acheter neuf
EUR 54,90
Expédition à EUR 23
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Hybrid Approach for Cloud Services Selection Adequate to Big Data
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6203029149
ISBN 13 : 9786203029147
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Elbaz SalyB.Sc. of Information Systems 2015, Pre-Master graduated 2017, Faculty of Computers and Information, Mansoura University.Big data needs large storage capacity and strong processing frameworks for cleaning, processing, an. N° de réf. du vendeur 482757871
Acheter neuf
EUR 45,45
Expédition à EUR 48,99
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Hybrid Approach for Cloud Services Selection Adequate to Big Data : Fuzzy Analytical Hierarchy Process (FAHP) Using Geometric Mean Method to Select Best Processing Framework
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6203029149
ISBN 13 : 9786203029147
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Big data needs large storage capacity and strong processing frameworks for cleaning, processing, and analysis. Fortunately, cloud computing offers many services and processing frameworks that facilitate storage and processing of big data. But the issue here is how to choose the best suited processing framework adequate to big data of the financial services.we used MCDM methods to solve this decision problem and to evaluate five big data processing frameworks (Spark, Hadoop, Flink, Storm, and Samza) based on twelve criteria. Big data needs large storage capacity and strong processing frameworks for cleaning, processing, and analysis. Fortunately, cloud computing offers many services and processing frameworks that facilitate storage and processing of big data. But the issue here is how to choose the best suited processing framework adequate to big data of the financial services.we used MCDM methods to solve this decision problem and to evaluate five big data processing frameworks (Spark, Hadoop, Flink, Storm, and Samza) based on twelve criteria. N° de réf. du vendeur 9786203029147
Acheter neuf
EUR 62,49
Expédition à EUR 35
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Hybrid Approach for Cloud Services Selection Adequate to Big Data
Edité par
LAP LAMBERT Academic Publishing Mai 2021, 2021
ISBN 10 : 6203029149
ISBN 13 : 9786203029147
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Big data needs large storage capacity and strong processing frameworks for cleaning, processing, and analysis. Fortunately, cloud computing offers many services and processing frameworks that facilitate storage and processing of big data. But the issue here is how to choose the best suited processing framework adequate to big data of the financial services.we used MCDM methods to solve this decision problem and to evaluate five big data processing frameworks (Spark, Hadoop, Flink, Storm, and Samza) based on twelve criteria.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch. N° de réf. du vendeur 9786203029147
Acheter neuf
EUR 54,90
Expédition à EUR 60
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Hybrid Approach for Cloud Services Selection Adequate to Big Data | Fuzzy Analytical Hierarchy Process (FAHP) Using Geometric Mean Method to Select Best Processing Framework
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6203029149
ISBN 13 : 9786203029147
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Hybrid Approach for Cloud Services Selection Adequate to Big Data | Fuzzy Analytical Hierarchy Process (FAHP) Using Geometric Mean Method to Select Best Processing Framework | Saly Elbaz | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203029147 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 120290644
Acheter neuf
EUR 47,95
Expédition à EUR 70
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 5 disponible(s)