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Privacy and Security Issues in Big Data - An Analytical View on Business Intelligence (Hardcover, 1st ed. 2021): Pradip Kumar... Privacy and Security Issues in Big Data - An Analytical View on Business Intelligence (Hardcover, 1st ed. 2021)
Pradip Kumar Das, Hrudaya Kumar Tripathy, Shafiz Affendi Mohd Yusof
R5,096 Discovery Miles 50 960 Ships in 10 - 15 working days

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.

Privacy and Security Issues in Big Data - An Analytical View on Business Intelligence (Paperback, 1st ed. 2021): Pradip Kumar... Privacy and Security Issues in Big Data - An Analytical View on Business Intelligence (Paperback, 1st ed. 2021)
Pradip Kumar Das, Hrudaya Kumar Tripathy, Shafiz Affendi Mohd Yusof
R5,065 Discovery Miles 50 650 Ships in 10 - 15 working days

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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