Pig: Novel Approach to Analyze Customer Behavior in Banking

ABSTRACT In recent years, banking industry has generated voluminous data which is referred as ‘Big Data'. This data flows rapidly from phones, social networking sites and other sources. Analysis of such kind of data can discover behavioural patterns and help industries to maintain relationship with their customers, but requires high performing technologies. Due to some limitations traditional data analysis methods failed to handle big data, but still some of them may be utilized for analysis. Big data is treated as a special kind of data which requires advance big data processing methods to discover valuable insights. Large-Scale parallel processing is one of them and Hadoop is the core platform for that. Hadoop is an open source software framework that supports data-intensive distributed applications. Two main components of Hadoop are HDFS for storage and MapReduce for processing. Pig is an ETL tool for data transformation which works on top of MapReduce. In this paper, we have put Pig concept to handle big data.