• V. KOVENDAN
• Mrs. S. SAROJINI

A large growth in volumes of data has affected today's large organization, were commonly used software tools to capture, manage, and process the data cannot able to handle the big data effectively. The main challenging task is that administrations must evaluate a bulky volume of big data and extract useful information for future actions in a short time. In this paper, we propose to visually analyze the big data using R statistical software, and we are going to focus on so called as big data statistical languages, such as Python, R, SQL, SAS. This growth invites the question whether R can ever unseat Python or Java as the top languages for big data. But while R has seen huge gains over the last few years, we show that R language is the best among all the other languages since it makes a processing of huge data easier.

Python, SAS, SQL, R language

"BIG DATA ANALYTICS: A COMPARISON OF PROGRAMMING LANGUAGES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.501-506, April-2019, Available :http://www.jetir.org/papers/JETIR1904473.pdf

"BIG DATA ANALYTICS: A COMPARISON OF PROGRAMMING LANGUAGES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp501-506, April-2019, Available at : http://www.jetir.org/papers/JETIR1904473.pdf