• Mr.JAMBERI K
• Mrs.S KALAISELVI
• Mrs.B SITA DEVI
• Mrs.R SHYAMALA

Big data has gained popularity in the last decade due to increased demand to process large data sets to deal with ever-growing volumes of data and the extraction of key information from massive volumes of data. Big data technologies are being widely found in many application domains that produce large levels of data that demand efficient data processing algorithms which co-relates different fields. With the complex characteristics of big data, new problems have emerged and need to face new challenges when developing and designing a brand-new algorithm for Big Data Analytics. Currently, there exist several algorithms which differ by their application area and efficiency. Increase in computational power and algorithmic improvements have reduced the full time for big data sets. The key benefit of the algorithm is that it makes possible to process the elements of large data sets in big data, extract the value from big data, handling any size of big data set with assistance from algorithms. This paper proposes algorithms their processing speed, efficiency and accuracy. It is important to review the algorithms to create big data valuable.

Big Data; Algorithms; Machine Learning.

"AN ANALYSIS OF BIG DATA ALGORITHMS (SUPERVISED, UNSUPERVISED & REINFORCEMENT): A SURVEY ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 7, page no.526-542, July-2020, Available :http://www.jetir.org/papers/JETIR2007061.pdf

"AN ANALYSIS OF BIG DATA ALGORITHMS (SUPERVISED, UNSUPERVISED & REINFORCEMENT): A SURVEY ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp526-542, July-2020, Available at : http://www.jetir.org/papers/JETIR2007061.pdf