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Hardcover. Condition: As New. 1. Auflage. will be dispatched immediately.
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Big Data Analytics: Theory, Techniques, Platforms, and Applications (SpringerBriefs in Applied Sciences and Technology)
Book 344 of 472: SpringerBriefs in Applied Sciences and TechnologySeller: Ria Christie Collections, Uxbridge, United Kingdom
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Big Data Analytics : Theory, Techniques, Platforms, and Applications
Book 344 of 472: SpringerBriefs in Applied Sciences and TechnologySeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Big Data Platforms and Applications: Case Studies, Methods, Techniques, and Performance Evaluation (Computer Communications and Networks)
Book 45 of 45: Computer Communications and NetworksSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Big Data Analytics : Theory, Techniques, Platforms, and Applications
Book 344 of 472: SpringerBriefs in Applied Sciences and TechnologySeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Taschenbuch. Condition: Neu. Big Data Analytics | Theory, Techniques, Platforms, and Applications | Ümit Demirbaga (u. a.) | Taschenbuch | xxiii | Englisch | 2025 | Springer | EAN 9783031566981 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Big Data Platforms and Applications: Case Studies, Methods, Techniques, and Performance Evaluation (Computer Communications and Networks)
Book 45 of 45: Computer Communications and NetworksSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Big Data Platforms and Applications : Case Studies, Methods, Techniques, and Performance Evaluation
Book 45 of 45: Computer Communications and NetworksSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces readers to big data analytics. It covers the background to and the concepts of big data, big data analytics, and cloud computing, along with the process of setting up, configuring, and getting familiar with the big data analytics working environments in the first two chapters. The third chapter provides comprehensive information on big data processing systems - from installing these systems to implementing real-world data applications, along with the necessary codes. The next chapter dives into the details of big data storage technologies, including their types, essentiality, durability, and availability, and reveals their differences in their properties. The fifth and sixth chapters guide the reader through understanding, configuring, and performing the monitoring and debugging of big data systems and present the available commercial and open-source tools for this purpose. Chapter seven gives information about a trending machine learning, Bayesian network: a probabilistic graphical model, by presenting a real-world probabilistic application to understand causal, complex, and hidden relationships for diagnosis and forecasting in a scalable manner for big data. Special sections throughout the eighth chapter present different case studies and applications to help the readers to develop their big data analytics skills using various big data analytics frameworks.The book will be of interest to business executives and IT managers as well as university students and their course leaders, in fact all those who want to get involved in the big data world.
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Big Data Platforms and Applications : Case Studies, Methods, Techniques, and Performance Evaluation
Book 45 of 45: Computer Communications and NetworksSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. 2024th edition NO-PA16APR2015-KAP.
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 308 | Sprache: Englisch | Produktart: Bücher | This book provides a review of advanced topics relating to the theory, research, analysis and implementation in the context of big data platforms and their applications, with a focus on methods, techniques, and performance evaluation. The explosive growth in the volume, speed, and variety of data being produced every day requires a continuous increase in the processing speeds of servers and of entire network infrastructures, as well as new resource management models. This poses significant challenges (and provides striking development opportunities) for data intensive and high-performance computing, i.e., how to efficiently turn extremely large datasets into valuable information and meaningful knowledge. The task of context data management is further complicated by the variety of sources such data derives from, resulting in different data formats, with varying storage, transformation, delivery, and archiving requirements. At the same time rapid responses are neededfor real-time applications. With the emergence of cloud infrastructures, achieving highly scalable data management in such contexts is a critical problem, as the overall application performance is highly dependent on the properties of the data management service.
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Big Data Platforms and Applications | Case Studies, Methods, Techniques, and Performance Evaluation
Book 45 of 45: Computer Communications and NetworksLanguage: English
Published by Springer Nature Switzerland, 2022
ISBN 10: 3030388387 ISBN 13: 9783030388386
Taschenbuch. Condition: Neu. Big Data Platforms and Applications | Case Studies, Methods, Techniques, and Performance Evaluation | Gabriel Neagu (u. a.) | Taschenbuch | xvii | Englisch | 2022 | Springer Nature Switzerland | EAN 9783030388386 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces readers to big data analytics. It covers the background to and the concepts of big data, big data analytics, and cloud computing, along with the process of setting up, configuring, and getting familiar with the big data analytics working environments in the first two chapters. The third chapter provides comprehensive information on big data processing systems - from installing these systems to implementing real-world data applications, along with the necessary codes. The next chapter dives into the details of big data storage technologies, including their types, essentiality, durability, and availability, and reveals their differences in their properties. The fifth and sixth chapters guide the reader through understanding, configuring, and performing the monitoring and debugging of big data systems and present the available commercial and open-source tools for this purpose. Chapter seven gives information about a trending machine learning, Bayesian network: a probabilistic graphical model, by presenting a real-world probabilistic application to understand causal, complex, and hidden relationships for diagnosis and forecasting in a scalable manner for big data. Special sections throughout the eighth chapter present different case studies and applications to help the readers to develop their big data analytics skills using various big data analytics frameworks.The book will be of interest to business executives and IT managers as well as university students and their course leaders, in fact all those who want to get involved in the big data world.
-
Big Data Platforms and Applications : Case Studies, Methods, Techniques, and Performance Evaluation
Book 45 of 45: Computer Communications and NetworksLanguage: English
Published by Springer International Publishing, 2022
ISBN 10: 3030388387 ISBN 13: 9783030388386
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a review of advanced topics relating to the theory, research, analysis and implementation in the context of big data platforms and their applications, with a focus on methods, techniques, and performance evaluation. The explosive growth in the volume, speed, and variety of data being produced every day requires a continuous increase in the processing speeds of servers and of entire network infrastructures, as well as new resource management models. This poses significant challenges (and provides striking development opportunities) for data intensive and high-performance computing, i.e., how to efficiently turn extremely large datasets into valuable information and meaningful knowledge.The task of context data management is further complicated by the variety of sources such data derives from, resulting in different data formats, with varying storage, transformation, delivery, and archiving requirements. At the same time rapid responses are neededfor real-time applications. With the emergence of cloud infrastructures, achieving highly scalable data management in such contexts is a critical problem, as the overall application performance is highly dependent on the properties of the data management service.
-
Big Data Platforms and Applications : Case Studies, Methods, Techniques, and Performance Evaluation
Book 45 of 45: Computer Communications and NetworksLanguage: English
Published by Springer International Publishing, 2021
ISBN 10: 3030388352 ISBN 13: 9783030388355
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a review of advanced topics relating to the theory, research, analysis and implementation in the context of big data platforms and their applications, with a focus on methods, techniques, and performance evaluation. The explosive growth in the volume, speed, and variety of data being produced every day requires a continuous increase in the processing speeds of servers and of entire network infrastructures, as well as new resource management models. This poses significant challenges (and provides striking development opportunities) for data intensive and high-performance computing, i.e., how to efficiently turn extremely large datasets into valuable information and meaningful knowledge.The task of context data management is further complicated by the variety of sources such data derives from, resulting in different data formats, with varying storage, transformation, delivery, and archiving requirements. At the same time rapid responses are neededfor real-time applications. With the emergence of cloud infrastructures, achieving highly scalable data management in such contexts is a critical problem, as the overall application performance is highly dependent on the properties of the data management service.
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Big Data Analytics: Theory, Techniques, Platforms, and Applications
Book 344 of 472: SpringerBriefs in Applied Sciences and TechnologyLanguage: English
Published by Springer-Nature New York Inc, 2024
ISBN 10: 3031556380 ISBN 13: 9783031556388
Hardcover. Condition: Brand New. 307 pages. 9.25x6.10x9.21 inches. In Stock.
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Paperback. Condition: Brand New. 307 pages. 9.25x6.10x0.71 inches. In Stock.
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Big Data Platforms and Applications: Case Studies, Methods, Techniques, and Performance Evaluation
Book 45 of 45: Computer Communications and NetworksLanguage: English
Published by Springer-Nature New York Inc, 2021
ISBN 10: 3030388352 ISBN 13: 9783030388355
Hardcover. Condition: Brand New. 307 pages. 9.25x6.10x9.21 inches. In Stock.
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Condition: new. Questo è un articolo print on demand.
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Condition: new. Questo è un articolo print on demand.
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Big Data Analytics: Theory, Techniques, Platforms, and Applications
Book 344 of 472: SpringerBriefs in Applied Sciences and TechnologyLanguage: English
Published by Springer-Nature New York Inc, 2024
ISBN 10: 3031556380 ISBN 13: 9783031556388
Hardcover. Condition: Brand New. 307 pages. 9.25x6.10x9.21 inches. In Stock. This item is printed on demand.
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