IJIRST (International Journal for Innovative Research in Science & Technology)ISSN (online) : 2349-6010

 International Journal for Innovative Research in Science & Technology

An Overview on Big Data Analysis


Print Email Cite
International Journal for Innovative Research in Science & Technology
Volume 4 Issue - 10
Year of Publication : 2018
Authors : Jeevitha I ; Giri Pai U; Mohana Prasath S

BibTeX:

@article{IJIRSTV4I10019,
     title={An Overview on Big Data Analysis},
     author={Jeevitha I, Giri Pai U and Mohana Prasath S},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={4},
     number={10},
     pages={38--43},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV4I10019.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}



Abstract:

Now the world is moving digitalized. To bring enhancement in modern world, we are ongoing on in a new concept known as the big data. Almost eighty to ninety percent of businesses that are running today seek a new and better approach to remain competitive and profitable. To do this, big data leads them in a path that stays ahead of the curves. Thus big data is an approach that helps people to make their life more comfortable, profitable and compatible one. Big data plays a major role in planning important strategic and operational plans and implement them. Apart from business people also use big data for many other reasons. Many people browse, collaborate, and shop for goods and services online, big data gives them hand to perform all these tasks. Not only consumer’s even business to business transaction takes place in this platform. This paper totally discusses about big data analysis, its history, various definitions, background and finally its applications. The platform which helps people in almost all means of their livelihood and makes their life comfortable is considered to be the best one. In such consideration big data is one of the best one in all means.


Keywords:

Big Data, Internet of Things, Massive Parallel Processing, Business Intelligence


Download Article