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Hybrid Approach for Cloud Services Selection Adequate to Big Data: Fuzzy Analytical Hierarchy Process (FAHP) Using Geometric Mean Method to Select Best Processing Framework - Softcover
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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>
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2021
- ISBN 10 6203029149
- ISBN 13 9786203029147
- BindingPaperback
- LanguageEnglish
- Number of pages112
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Hybrid Approach for Cloud Services Selection Adequate to Big Data
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LAP LAMBERT Academic Publishing Mai 2021, 2021
ISBN 10: 6203029149
ISBN 13: 9786203029147
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Taschenbuch. Condition: 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. Seller Inventory # 9786203029147
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Hybrid Approach for Cloud Services Selection Adequate to Big Data : Fuzzy Analytical Hierarchy Process (FAHP) Using Geometric Mean Method to Select Best Processing Framework
Published by
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203029149
ISBN 13: 9786203029147
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Taschenbuch. Condition: 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. . Seller Inventory # 9786203029147
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Hybrid Approach for Cloud Services Selection Adequate to Big Data: Fuzzy Analytical Hierarchy Process (FAHP) Using Geometric Mean Method to Select Best Processing Framework
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ISBN 13: 9786203029147
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Hybrid Approach for Cloud Services Selection Adequate to Big Data
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Hybrid Approach for Cloud Services Selection Adequate to Big Data: Fuzzy Analytical Hierarchy Process (FAHP) Using Geometric Mean Method to Select Best Processing Framework
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ISBN 10: 6203029149
ISBN 13: 9786203029147
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Hybrid Approach for Cloud Services Selection Adequate to Big Data: Fuzzy Analytical Hierarchy Process (FAHP) Using Geometric Mean Method to Select Best Processing Framework
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ISBN 13: 9786203029147
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Hybrid Approach for Cloud Services Selection Adequate to Big Data
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ISBN 13: 9786203029147
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Taschenbuch. Condition: Neu. 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 112 pp. Englisch. Seller Inventory # 9786203029147
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