Security Issues and Challenges Related to Big Data

Security Issues and Challenges Related to Big Data

Jaimin N. Undavia (CHARUSAT University, India), Atul Patel (CHARUSAT University, India) and Sheenal Patel (CHARUSAT University, India)
DOI: 10.4018/978-1-5225-5222-2.ch006
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Availability of huge amount of data has opened up a new area and challenge to analyze these data. Analysis of these data become essential for each organization and these analyses may yield some useful information for their future prospectus. To store, manage and analyze such huge amount of data traditional database systems are not adequate and not capable also, so new data term is introduced – “Big Data”. This term refers to huge amount of data which are used for analytical purpose and future prediction or forecasting. Big Data may consist of combination of structured, semi structured or unstructured data and managing such data is a big challenge in current time. Such heterogeneous data is required to maintained in very secured and specific way. In this chapter, we have tried to identify such challenges and issues and also tried to resolve it with specific tools.
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Security Issues In Big Data

As the name suggests, Big Data is the term which describes massive amount of data which may be in structured and unstructured form. These data are used in business on day-to-day basis. Here, the amount of data is not only important but how organization uses this data is important. Such data can be analyzed and used for decision making process for strategic business moves and forecasting in various perspectives.

The “Big Data” term is relatively new and describes the act of gathering and storing massive amount of data for the purpose of analytics. The concept gained momentum in the early 2000s when industry analysts articulated the now-mainstream definition of big data as the three Vs:

Big Data – the term which reveals the fact that it has enormous amount of data availability. Such large volume of data is always combination of both structured and unstructured natured data. In recent days, these data overwhelm business at a very high extent.

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