Privacy and Security Issues in Big Data - An Analytical View on Business Intelligence (Hardcover, 1st ed. 2021)


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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Product Description

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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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

Services and Business Process Reengineering

Release date

April 2021

Availability

Expected to ship within 12 - 17 working days

First published

2021

Editors

, ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

211

Edition

1st ed. 2021

ISBN-13

978-981-16-1006-6

Barcode

9789811610066

Categories

LSN

981-16-1006-1



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