Hadoop Map Reduce Framework for Automated Banking System

Automation plays a vital role in global industry and in Indian economy. The automated banking system is quite effective automated system which manages the automation of customer information. The banking system is quite challenging in existing system as the customer information cannot be track easily, volume of data cannot store easily. The volume of data is large than risk to handle of that particular data is also high. This paper propose a framework of large volume of data by using the parallel system and a map-reduce algorithm with the help of big data in Hadoop. Big data is a huge word to solve this kind of problem. Data in banking sector increased rapidly which will affect more to the database so big data help to process the database faster and also avoiding the problems. This big data helps to manage the data which is inefficient and also handles data easily.