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Springer Privacy and Security Issues in Big Data - Springer

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Description

Explore the critical intersection of privacy, security and business intelligence with this comprehensive Springer publication on big data protection. This analytical resource examines privacy and security concerns specific to big data environments, clearly differentiating between privacy and security concepts whilst establishing privacy requirements for modern business systems. Drawing on systematic mapping study findings, the book presents practical security implementation strategies for organisations leveraging big data under business intelligence frameworks. Readers will discover why security infrastructure matters in business contexts, how security measures can be strengthened, and which data protection techniques deliver effective safeguards. Ideal for business process reengineering professionals, data security specialists and organisations seeking to build robust big data governance models, this Springer title bridges theory and implementation to address real-world data protection challenges in contemporary business operations.

Key Features

Springer publication differentiating between privacy and security concepts specific to big data environments and business intelligence applications.

Systematic mapping study findings present security implementation strategies for organisations utilising big data within business infrastructure.

Covers data security and data protection techniques applicable to business process reengineering and modern data governance frameworks.

Examines privacy requirements in big data and explains how security measures can be improved across business operations.

Addresses business intelligence establishment through security-focused big data management and organisational risk mitigation strategies.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
24 April 2021
Listed Since
04 February 2021

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