Big data analysis of Indian premier league using Hadoop and MapReduce

The exponential growth of the internet has changed the way people used to interact with each other. With the extensive use of social media platforms like Facebook, Instagram, Google+, Twitter etc., people nowadays share their emotions, opinions, and reactions quite actively. Twitter, for example, being one of the prime sources of real-time information, it's being used by millions of netizens all around the globe. Twitterati ardently share their political views, movies' experience as well as react to numerous sporting events on a daily basis. This paper analyzes one such sporting event, the final match of Indian Premier League 2015, using Hadoop and MapReduce programming paradigm. The objective of this paper is to assess the popularity of Indian Premier League 2015 as well as various metrics related to the game. The analysis found that Indian Premier League is not only popular in India but it has gained immense popularity throughout the world, ranging from Ahmedabad (India) to Zurich (Switzerland). Furthermore, the time interval in which cricket fans tweeted the most, most talked about players, and the dominant team - are the various metrics that have also been analyzed from the game's perspective.