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The generation of data from every corner of the world forced the data scientists to think over it, how to handle such voluminous data while processing and storing. Therefore, to tackle this gigantic data called Big Data, its analytics has become very important. The development of innovative tools and algorithms is the need of the hour for the academic world, research study, and IT industry. The uncontrolled and continuous expansion of data sources generates heterogeneous data at a speed of light over the internet including Tweets, Facebook posts/likes, Blogs, news, articles, YouTube videos, website clicks, etc. Big data becomes a new challenge for research communities to extract meaningful information for commercial as well as personal use. There are numerous open source programming platform available free of cost for processing big data such as Hadoop, MapReduce, Hive, Flink, Spark, etc. Hadoop is an …