Big Data Analysis: A comprehensive Study
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 5
Abstract
With advance of E-commerce applications, social media and mobile devices in current era the data explosion has started. IT industry and academia have gained much attention for Big Data. By 2020, 50 billion devices are expected to be connected to the internet. With the data transfer and sharing at light speed on optic fibre and wifi networks, there is a voluminous growth in data generations. In this Big Data World, various fields around the globe are facing a big problem with this large scale data which highly supports in decision making. The traditional relational DBMS’s were unable to handle this Big Data. The most classical data mining methods are also not suitable for handling this big data. Efficient algorithms are required to process Big Data. As Big Data is still in its infancy stage, in this paper we try to identify the Issues and Challenges faced by MapReduce in handling Big Data with an overview of providing and identifying better opportunities for further research. The Challenges are grouped into (a) Big Data Management and Storage. (b) Big Data Analysis.(c) Security and Privacy. This study encourages future Big Data research.
Authors and Affiliations
M. Bhaskar
Keywords
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