• PRADEEP KUMAR SHRIWAS
• Dr. Satendra Kurariya

Agriculture, banking, data mining, education, chemistry, finance, cloud computing, marketing, health care stocks, and the stock market are just a few of the many industries that rely heavily on Big Data. Analyzing large amounts of data with the goal of discovering previously unseen patterns, previously unfathomable relationships, and other useful information that can be used to make better choices is known as "big data analytics." Big data's rapidly increasing popularity may be attributed to its wide range of possible uses and broad applicability. The advent of the big data era has presented both advantages and difficulties for the field of intelligence studies. Data mining, data visualisation, semantic processing, etc. are only a few of the new methods of intelligence study that are being examined in this article as they emerge in the context of the big data environment. In the meanwhile, it offers a rundown of contemporary resources like Weka, Sitespace, etc. Both academia and industry are realising the value of large-scale data analysis. In order to analyse massive amounts of data, statistical languages provide a wealth of features while being intuitive to use. To put it simply, Hadoop has altered the dynamics and economics of supercomputers. It allows for scalability at a reasonable price. The article provides an introduction to Hadoop and R for large-scale data processing.

Big Data, Mining,Advanced,Techniques, Large Data.

"EXPLORING THE MAP REDUCE AND R TECHNIQUES USED IN LARGE SCALE DATA ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.462-467, May 2019, Available :http://www.jetir.org/papers/JETIR1905X54.pdf

"EXPLORING THE MAP REDUCE AND R TECHNIQUES USED IN LARGE SCALE DATA ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp462-467, May 2019, Available at : http://www.jetir.org/papers/JETIR1905X54.pdf