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Facing Security Problems in Big Data and Hadoop


     

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One of the biggest concerns in our present age revolves around the security and protection of sensitive information. In our current era of Big Data, our organizations are collecting, analyzing, and making decisions based on analysis of massive amounts of data sets from various sources, and security in this process is becoming increasingly more important. Big data that resides within a Hadoop environment can contain sensitive financial data in the form of credit card and bank account numbers. It may also contain proprietary corporate information and Personally Identifiable Information (PII) such as the names, addresses and social security numbers of clients, customers and employees.


Keywords

Big Data, Hadoop, Authentication, Security, Kerberos.
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  • Facing Security Problems in Big Data and Hadoop

Abstract Views: 261  |  PDF Views: 0

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Abstract


One of the biggest concerns in our present age revolves around the security and protection of sensitive information. In our current era of Big Data, our organizations are collecting, analyzing, and making decisions based on analysis of massive amounts of data sets from various sources, and security in this process is becoming increasingly more important. Big data that resides within a Hadoop environment can contain sensitive financial data in the form of credit card and bank account numbers. It may also contain proprietary corporate information and Personally Identifiable Information (PII) such as the names, addresses and social security numbers of clients, customers and employees.


Keywords


Big Data, Hadoop, Authentication, Security, Kerberos.