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Big Data: Challenges and Solutions

Big Data: Challenges and Solutions
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Author(s): P. Lalitha Surya Kumari (Geethanjali College of Engineering and Technology, India)
Copyright: 2020
Pages: 42
Source title: Security, Privacy, and Forensics Issues in Big Data
Source Author(s)/Editor(s): Ramesh C. Joshi (Graphic Era University, Dehradun, India) and Brij B. Gupta (National Institute of Technology, Kurukshetra, India)
DOI: 10.4018/978-1-5225-9742-1.ch002

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Abstract

This chapter gives information about the most important aspects in how computing infrastructures should be configured and intelligently managed to fulfill the most notably security aspects required by big data applications. Big data is one area where we can store, extract, and process a large amount of data. All these data are very often unstructured. Using big data, security functions are required to work over the heterogeneous composition of diverse hardware, operating systems, and network domains. A clearly defined security boundary like firewalls and demilitarized zones (DMZs), conventional security solutions, are not effective for big data as it expands with the help of public clouds. This chapter discusses the different concepts like characteristics, risks, life cycle, and data collection of big data, map reduce components, issues and challenges in big data, cloud secure alliance, approaches to solve security issues, introduction of cybercrime, YARN, and Hadoop components.

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