In today’s digital world large volume of data is being generated from various sources including social media, healthcare, transportation, industries, sensors, etc. This data includes structured, semi-structured and unstructured data. This huge volume of data cannot be stored and processed using traditional systems thus it is termed as big data. To store and analyze this type of data parallel storage and analysis is required. This can be achieved by using big data analytics. Using Apache Hadoop such huge volume data can be analyzed efficiently. In this paper, a case study is performed on different fertilizers requirement and availability in different states of India in three years from 2012-2013 to 2014-2015 using Apache Hadoop.