From the most recent couple of decades there has been extraordinary improvement in information age and utilization. Because of the headway in the innovation lately the term enormous information has turned out to be exceptionally prominent word in each field. Huge information alludes to mind boggling and huge datasets which cannot be processed using traditional databases techniques. Big data offers variety of advantages to the peoples now a day. Particularly, big data gives solutions to all the problems which are looking hypothetical past. In contrast, having large sets of data was not useful at all. In order make use of those large sets of data or big data we need to process or analyze that big data. For to process or analyze the huge amount and diverse varieties of data is not an easy task, in order to analyze such complex data we need different analytics mechanisms. In this paper we investigating different methods and techniques analyzing big data, the tools used for big data analytics and we presents a comparative view of those techniques, technologies and the real bottle necks of the current analytics mechanisms.
Volume 12 | Issue 6
Pages: 119-133
DOI: 10.5373/JARDCS/V12I6/S20201013