Text mining is a sub-division of data mining that is used in recognizing hidden patterns and correlation in large amount of data. It is also known as text data mining, intelligent text analysis and knowledge discovery in text.

Hadoop is one of the applications for big data analysis, which is quite popular for its storage system that is Hadoop distributed file system (HDFS). It is a Java-based open source framework which stores big datasets in its distributed file system and processes them using MapReduce programming model.

With increasing use of big data applications in various industries, Hadoop has gained popularity over the last decade in data analysis. It is an open-source framework which provides distributed file system for big data sets.

Big data has been a buzzword in the computing era for over a decade now. It is a term used for large and complex data sets which is difficult to be processed and analysed by traditional data processing software.

It has become important to create a new platform to fulfill the demand of organizations due to the challenges faced by traditional data. By leveraging the talent and collaborative efforts of the people and the resources, innovation in terms of managing massive amount of data has become tedious job for organisations.

Complex or massive data sets which are quite impractical to be managed using the traditional database system and software tools are referred to as big data.