• Dr.Rakesh Kumar Giri

In this day and age, when nearly everything is being digitalized, we deal with a vast variety of data types. These three corporations, Google, Microsoft, and Amazon, will each process a very large amount of data. Daily, these companies handled a large amount of data in their operations. Because of this, we need to find a way to tweak the technology so that it can handle all of the data in an effective manner. This presents a challenge for us, but we must find a solution. Big Data is a relatively new concept that defines innovative methods and technology that may be used to analyse large quantities of intricate datasets. The term "big data" was coined in the year 2010. These datasets are being produced at an exponential rate, coming from a wide variety of sources, and doing so at a variety of different rates. The discipline of big data analytics is finding that approaches involving data mining are proving to be of considerable benefit. Because dealing with enormous amounts of data offers considerable challenges for apps, this is something that really needs to be done. The ability to extract information that is useful from very big datasets is at the core of what is known as "Big Data analytics." The objective of this research is to conduct a literature review that covers a variety of topics, including the significance, challenges, and applications of big data in a number of different industries, as well as the numerous methods that are utilised for big data analysis by making use of data mining techniques.

Big Data, Data Mining, techniques

"STUDY ON BIG DATA USING AND DATA MINING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 11, page no.1420-1424, November-2017, Available :http://www.jetir.org/papers/JETIR1711221.pdf

"STUDY ON BIG DATA USING AND DATA MINING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 11, page no. pp1420-1424, November-2017, Available at : http://www.jetir.org/papers/JETIR1711221.pdf