£122.00

Springer - Privacy and Security Issues in Big Data Book

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Description

Protecting sensitive information is a top priority in the era of massive data processing. This book from Springer provides an analytical view of privacy and security issues within big data environments. It offers a clear distinction between privacy and security, helping readers understand the specific requirements needed for modern data management. By utilizing the results of a systematic mapping study, the text explores how security can be implemented within big data frameworks to support Business Intelligence. The content is designed to help professionals understand how to integrate security into business infrastructure and improve overall data protection. Readers will learn about the foundational definitions of big data and explore various techniques used for data security and protection in a business context. This resource is essential for those looking to understand the intersection of business process reengineering and data safety.

Key Features

Distinguishes between privacy and security requirements specifically for big data applications.

Provides insights based on a systematic mapping study regarding big data security implementation.

Explores how to utilize security within the establishment of Business Intelligence frameworks.

Covers fundamental definitions of big data and its role in modern business infrastructure.

Discusses methods to improve security and implement data protection techniques effectively.

Analyzes the relationship between big data and business process reengineering.

Product Specifications

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

Barcode

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