ACCENTS Transactions on Image Processing and Computer Vision, Vol 6(20) ISSN (Online): 2455-4707 http://dx.doi.org/10.19101/TIPCV.2020.618052 48 A survey and analysis of big data management based on computational methodologies Shweta Kumari 1* , Kailash Patidar 2 , Rishi Kushwah 2 and Gaurav Saxena 2 M.Tech Scholar, Department of Computer Science Engineering, Sri Satya Sai University of Technology & Medical Sciences, Sehore, Madhya Pradesh, India 1 Assistant Professor, Department of Computer Science Engineering, Sri Satya Sai University of Technology & Medical Sciences, Sehore, Madhya Pradesh, India 2 Received: 1-July-2020; Revised: 24-August-2020; Accepted: 28-August-2020 ©2020 Shweta Kumari et al. This is an open access article distributed under the Creative Commons Attribution (CC BY) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 1.Introduction The term big data means the handling of high volume of data in terms of specific data requirement and arrangement [1]. The major aim is the data arrangement task which can be handled in such a way to provide velocity, variety and high volume [2−5]. In today’s world the amount of data generated is very high so by the use of big data framework, different computational aspects can be applied successfully [4−6]. The main capabilities of this environment are data processing with high volume, time saving and the better efficiency [8, 9]. Big data environment can be better understood by the following attributes [8−12]: • Volume: The amount of data processed or generated comes under the volume category. • Variety: It is the type of data under structured and unstructured category. • Velocity: data or information processed or generated speed comes under the velocity category. *Author for correspondence • Value: knowledge processing under the process of the above generation and processing in different levels. Big data processing covers data, analytics and decision (Figure 1). Figure 2 shows the big data applications. Figure 1 Big data processing Data Analytics Decision Review Article Abstract In a business enterprise there is an enormous amount of data generated or processed daily through different data points. It is increasing day by day. It is tough to handle it through traditional applications like excel or any other tools. So, big data analytics and environment may be helpful in the current scenario and the situation discussed above. This paper discussed the big data management ways with the impact of computational methodologies. It also covers the applicability domains and areas. It explores the computational methods applicability scenario and their conceptual design based on the previous literature. Machine learning, artificial intelligence and data mining techniques have been discussed for the same environment based on the related study. Keywords Big data, Machine learning, Artificial intelligence, Data mining.