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In den WarenkorbZustand: New. pp. 216 1st edition NO-PA16APR2015-KAP.
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In den WarenkorbZustand: New. Mohammad Shahid Husain is an Assistant Professor in the Department of Information Technology, University of Technology and Applied Sciences, Oman.Mohammad Zunnun Khan is an Assistant Professor at the Department of Computer Science &a.
Verlag: Auerbach Publications 2023-10-25, 2023
ISBN 10: 1032579188 ISBN 13: 9781032579184
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: Brand New. 216 pages. 9.19x6.13x0.49 inches. In Stock.
Verlag: Taylor & Francis Ltd, London, 2023
ISBN 10: 1032579188 ISBN 13: 9781032579184
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: new. Paperback. With the advent of such advanced technologies as cloud computing, the Internet of Things, the Medical Internet of Things, the Industry Internet of Things and sensor networks as well as the exponential growth in the usage of Internet-based and social media platforms, there are enormous oceans of data. These huge volumes of data can be used for effective decision making and improved performance if analyzed properly. Due to its inherent characteristics, big data is very complex and cannot be handled and processed by traditional database management approaches. There is a need for sophisticated approaches, tools and technologies that can be used to store, manage and analyze these enormous amounts of data to make the best use of them.Big Data Concepts, Technologies, and Applications covers the concepts, technologies, and applications of big data analytics. Presenting the state-of-the-art technologies in use for big data analytics. it provides an in-depth discussion about the important sectors where big data analytics has proven to be very effective in improving performance and helping industries to remain competitive. This book provides insight into the novel areas of big data analytics and the research directions for the scholars working in the domain. Highlights include:The advantages, disadvantages and challenges of big data analyticsState-of-the-art technologies for big data analytics such as Hadoop, NoSQL databases, data lakes, deep learning and blockchain The application of big data analytic in healthcare, business, social media analytics, fraud detection and prevention and governance Exploring the concepts and technologies behind big data analytics, the book is an ideal resource for researchers, students, data scientists, data analysts and business analysts who need insight into big data analytics This book addresses the issues and challenges faced by researchers as well as the opportunities for practitioners embracing the Big Data paradigm. It explores concepts behind Big Data, data analysis, and potential benefits. Finally, the book explains deriving value from Big Data and covers storage, processing power, and platforms. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Verlag: Taylor & Francis Ltd, London, 2023
ISBN 10: 1032579188 ISBN 13: 9781032579184
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: new. Paperback. With the advent of such advanced technologies as cloud computing, the Internet of Things, the Medical Internet of Things, the Industry Internet of Things and sensor networks as well as the exponential growth in the usage of Internet-based and social media platforms, there are enormous oceans of data. These huge volumes of data can be used for effective decision making and improved performance if analyzed properly. Due to its inherent characteristics, big data is very complex and cannot be handled and processed by traditional database management approaches. There is a need for sophisticated approaches, tools and technologies that can be used to store, manage and analyze these enormous amounts of data to make the best use of them.Big Data Concepts, Technologies, and Applications covers the concepts, technologies, and applications of big data analytics. Presenting the state-of-the-art technologies in use for big data analytics. it provides an in-depth discussion about the important sectors where big data analytics has proven to be very effective in improving performance and helping industries to remain competitive. This book provides insight into the novel areas of big data analytics and the research directions for the scholars working in the domain. Highlights include:The advantages, disadvantages and challenges of big data analyticsState-of-the-art technologies for big data analytics such as Hadoop, NoSQL databases, data lakes, deep learning and blockchain The application of big data analytic in healthcare, business, social media analytics, fraud detection and prevention and governance Exploring the concepts and technologies behind big data analytics, the book is an ideal resource for researchers, students, data scientists, data analysts and business analysts who need insight into big data analytics This book addresses the issues and challenges faced by researchers as well as the opportunities for practitioners embracing the Big Data paradigm. It explores concepts behind Big Data, data analysis, and potential benefits. Finally, the book explains deriving value from Big Data and covers storage, processing power, and platforms. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Verlag: Taylor & Francis Ltd, London, 2023
ISBN 10: 1032579188 ISBN 13: 9781032579184
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: new. Paperback. With the advent of such advanced technologies as cloud computing, the Internet of Things, the Medical Internet of Things, the Industry Internet of Things and sensor networks as well as the exponential growth in the usage of Internet-based and social media platforms, there are enormous oceans of data. These huge volumes of data can be used for effective decision making and improved performance if analyzed properly. Due to its inherent characteristics, big data is very complex and cannot be handled and processed by traditional database management approaches. There is a need for sophisticated approaches, tools and technologies that can be used to store, manage and analyze these enormous amounts of data to make the best use of them.Big Data Concepts, Technologies, and Applications covers the concepts, technologies, and applications of big data analytics. Presenting the state-of-the-art technologies in use for big data analytics. it provides an in-depth discussion about the important sectors where big data analytics has proven to be very effective in improving performance and helping industries to remain competitive. This book provides insight into the novel areas of big data analytics and the research directions for the scholars working in the domain. Highlights include:The advantages, disadvantages and challenges of big data analyticsState-of-the-art technologies for big data analytics such as Hadoop, NoSQL databases, data lakes, deep learning and blockchain The application of big data analytic in healthcare, business, social media analytics, fraud detection and prevention and governance Exploring the concepts and technologies behind big data analytics, the book is an ideal resource for researchers, students, data scientists, data analysts and business analysts who need insight into big data analytics This book addresses the issues and challenges faced by researchers as well as the opportunities for practitioners embracing the Big Data paradigm. It explores concepts behind Big Data, data analysis, and potential benefits. Finally, the book explains deriving value from Big Data and covers storage, processing power, and platforms. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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In den WarenkorbZustand: New. 1st edition NO-PA16APR2015-KAP.
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In den WarenkorbHardback. Zustand: New. New copy - Usually dispatched within 4 working days. 560.
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In den WarenkorbZustand: As New. Unread book in perfect condition.
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In den WarenkorbHardcover. Zustand: Brand New. 216 pages. 9.19x6.13x0.68 inches. In Stock.