Olympics Big Data Prognostications

Abstract

Data is continuously snowballing over the years, gradually a huge growth is seen in data to store and tame to yield meticulous result. It gives rise to a concept nowadays, reckoned as big data analytics. With the summer Olympics at Rio de Janeiro, Brazil in the year 2016 round the corner, we, the authors have implemented a mathematical model by implementing efficient map reduce program to predict the number of medals each country might bag at the games. Based on a number of factors such as historical performance of the country in terms of medals won, the performance of athletes, financial scenario in the country, fitness levels and nutrition of athletes along with familiarity to the playing conditions can be used to come up with a reliable estimate.