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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book focuses on privacy and security concerns in big data and differentiates between privacy and security and privacy requirements in big data. It focuses on the results obtained after applying a systematic mapping study and implementation of security in the big data for utilizing in business under the establishment of żBusiness Intelligenceż. The chapters start with the definition of big data, discussions why security is used in business infrastructure and how the security can be improved. In this book, some of the data security and data protection techniques are focused and it presents the challenges and suggestions to meet the requirements of computing, communication and storage capabilities for data mining and analytics applications with large aggregate data in business.
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Taschenbuch. Condition: Neu. Privacy and Security Issues in Big Data | An Analytical View on Business Intelligence | Pradip Kumar Das (u. a.) | Taschenbuch | xii | Englisch | 2022 | Springer Singapore | EAN 9789811610097 | 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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ISBN 10: 9811610061 ISBN 13: 9789811610066
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Published by Springer Nature Singapore, Springer Nature Singapore, 2022
ISBN 10: 9811610096 ISBN 13: 9789811610097
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on privacy and security concerns in big data and differentiates between privacy and security and privacy requirements in big data. It focuses on the results obtained after applying a systematic mapping study and implementation of security in the big data for utilizing in business under the establishment of 'Business Intelligence'. The chapters start with the definition of big data, discussions why security is used in business infrastructure and how the security can be improved. In this book, some of the data security and data protection techniques are focused and it presents the challenges and suggestions to meet the requirements of computing, communication and storage capabilities for data mining and analytics applications with large aggregate data in business.
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Published by Springer Nature Singapore, 2022
ISBN 10: 9811610096 ISBN 13: 9789811610097
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents cutting edge research addressing privacy and security protection challenges of big data using Business IntelligenceDiscusses the challenges and suggestions to meet the requirements of computing, communication, and storage capabilities.
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Published by Springer Nature Singapore, 2021
ISBN 10: 9811610061 ISBN 13: 9789811610066
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents cutting edge research addressing privacy and security protection challenges of big data using Business IntelligenceDiscusses the challenges and suggestions to meet the requirements of computing, communication, and storage capabilit.
Language: English
Published by Springer Nature Singapore Apr 2022, 2022
ISBN 10: 9811610096 ISBN 13: 9789811610097
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on privacy and security concerns in big data and differentiates between privacy and security and privacy requirements in big data. It focuses on the results obtained after applying a systematic mapping study and implementation of security in the big data for utilizing in business under the establishment of 'Business Intelligence'. The chapters start with the definition of big data, discussions why security is used in business infrastructure and how the security can be improved. In this book, some of the data security and data protection techniques are focused and it presents the challenges and suggestions to meet the requirements of computing, communication and storage capabilities for data mining and analytics applications with large aggregate data in business. 224 pp. Englisch.