A model for detecting and managing unrecognized data in a big data framework
Ananta Chandra Das, Sachi Nandan Mohanty, Arupananda Girish Prasad, Aparimita Swain · 2016
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. Also different parameters of data like volume, variety and velocity has become a challenge for human civilization. Along with that we have faced with another problem which is caused by the data known as Unrecognized data. Unrecognized data vary in the volume, variety and velocity point of view. Data can be unrecognized due to different parameters like volume or variety. Basically unrecognized data are those data which are not accepted by the system. In this paper we have discussed about different types of data, the problems in the traditional data analytics process due to which we go for the big data analytics. After that we have discussed what is unrecognized data, how can we detect and manage unrecognized data in a big data framework.