This paper is published in Volume-3, Issue-1, 2017
Area
Big Data
Author
Kanchana R, Shashikumar D R
Org/Univ
Cambridge Institute Of Technology Bangalore, Karnataka, India
Pub. Date
07 February, 2017
Paper ID
V3I1-1288
Publisher
Keywords
Big Data; Hadoop; Hadoop Distributed File System.

Citationsacebook

IEEE
Kanchana R, Shashikumar D R. Big Data: Tools and Applications, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Kanchana R, Shashikumar D R (2017). Big Data: Tools and Applications. International Journal of Advance Research, Ideas and Innovations in Technology, 3(1) www.IJARIIT.com.

MLA
Kanchana R, Shashikumar D R. "Big Data: Tools and Applications." International Journal of Advance Research, Ideas and Innovations in Technology 3.1 (2017). www.IJARIIT.com.

Abstract

The amount of data in our industry and the world is exploding. Data is being collected and stored at unprecedented rates. The challenge is not only to store and manage the vast volume of data, but also to analyze and extract meaningful value from it. There are several approaches to collecting, storing, processing, and analyzing big data. Our analysis illustrates that the Big Data analytic is a fast-growing, influential practice and a key enabler for the social business. This paper covers the leading tools and technologies for big data storage and processing. Hadoop, Map Reduce, and No SQL are the major big data technologies. These technologies are very helpful in big data management.