Abstract: Data is a part of information that is formatted in some special approach. In general way data can be exist in various forms like numbers or text on a paper, as bits or bytes in computer memory, or as facts in the brain of human beings. Moreover, data is present each and every place in the universe. There is no limit of the data present all over the universe. Since the day when human civilization starts, we always exist with some data. Our day to day life deals with some data with or without any reason. The data can be of any type like remembering someone's name or saving a playlist of thousands of songs. But, with the development of the human civilization the rapid growth of the data has already come into the existence. As we live in the twenty first century we exist with a new concept of data which is known as "BIG DATA". In last century the human civilization faced a new concept of manipulating data known as Data Analytics in order to make the business profitable and the life more simple that deals with large volume of data. In this paper we have discussed about different types of data, the problems in the traditional data analytics process. After that we discussed about what is big data and different parameters of big data. How the problems in traditional data analytics is being resolved by big data analytics also discussed in this paper.
Keywords: Big data; data analytics; data storage procedure; big data landscape; hadoop; Hadoop Distributed File System(HDFS); Business Intelligence (BI).
Title: A Comparative Study on Data Analytics and Big Data Analytics
Author: Ananta Chandra Das, Santosh Kumar Pani, Sachi Nandan Mohanty
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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