
Exponential increase in the amount of data generated (also called big data) is majorly contributing to the growth of Hadoop solution. The application such as Banking, Financial Services and Insurance (BFSI), retail, healthcare and life sciences, media and entertainment, government, and telecommunication among others are generating a massive amount of data. So, there is a need of a tool to handle and analyze big data. Hadoop is a cost effective solution and can manage structured as well as unstructured data unlike traditional solutions such as RDBMS. The need to track and analyze consumer behavior, maintain inventory and space, target marketing offers on the basis of consumer preferences and attract and retain consumers, are some of the factors pushing the demand for Hadoop architecture solutions.