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Big Data Analytics Theory by Demirbaga Ümit (17 results)
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Big Data Analytics: Theory, Techniques, Platforms, and Applications (SpringerBriefs in Applied Sciences and Technology)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Big Data Analytics : Theory, Techniques, Platforms, and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: As New. Unread book in perfect condition.
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Big Data Analytics : Theory, Techniques, Platforms, and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Big Data Analytics | Theory, Techniques, Platforms, and Applications
Published by Springer Nature Switzerland, 2025
ISBN 10: 303156698X ISBN 13: 9783031566981
Language: English
Taschenbuch. Condition: Neu. Big Data Analytics | Theory, Techniques, Platforms, and Applications | Ümit Demirbaga (u. a.) | Taschenbuch | xxiii | Englisch | 2025 | Springer Nature Switzerland | 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 Analytics : Theory, Techniques, Platforms, and Applications
Published by Springer Nature Switzerland, Springer International Publishing, 2025
ISBN 10: 303156698X ISBN 13: 9783031566981
Language: English
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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Condition: New. 2024th edition NO-PA16APR2015-KAP.
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Big Data Analytics : Theory, Techniques, Platforms, and Applications
Published by Springer Nature Switzerland, Springer Nature Switzerland, 2024
ISBN 10: 3031556380 ISBN 13: 9783031556388
Language: English
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.
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Big Data Analytics: Theory, Techniques, Platforms, and Applications
Published by Springer-Nature New York Inc, 2024
ISBN 10: 3031556380 ISBN 13: 9783031556388
Language: English
Hardcover. Condition: Brand New. 307 pages. 9.25x6.10x9.21 inches. In Stock.
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Condition: New. Print on Demand.
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Big Data Analytics: Theory, Techniques, Platforms, and Applications
Published by Springer-Nature New York Inc, 2024
ISBN 10: 3031556380 ISBN 13: 9783031556388
Language: English
Hardcover. Condition: Brand New. 307 pages. 9.25x6.10x9.21 inches. In Stock. This item is printed on demand.
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Condition: New. PRINT ON DEMAND.
-
Big Data Analytics | Theory, Techniques, Platforms, and Applications
Published by Springer Nature Switzerland, 2024
ISBN 10: 3031556380 ISBN 13: 9783031556388
Language: English
Buch. Condition: Neu. Big Data Analytics | Theory, Techniques, Platforms, and Applications | Ümit Demirbaga (u. a.) | Buch | xxiii | Englisch | 2024 | Springer Nature Switzerland | EAN 9783031556388 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
