Authors : Young-Woon Kim and Hyeopgeon Lee
Abstract: Illegal sales, in which sales people ask their acquaintances to subscribe for a certain no-charge period and cancel their subscriptions to receive extra pay for service subscription, frequently occur in the cable TV industry. In order to rectify this illegal sales issue, a system that analyzes whether customers have accessed the service for a certain period is needed. However, the massive log data created from the frequent on/off access by millions of customers to the service is difficult to handle. In this study, MapReduce on Hadoop was used to process the massive amounts of data on a distributed processing system comprising a cluster of computers. After comparing the strong points of major NoSQLs, specifically, MongoDB, Cassandra and HBase, MongoDB was selected because of its strength in flexible search designation for real-time big data analysis in order to ultimately develop a big data analysis system to prevent illegal sales.
Young-Woon Kim and Hyeopgeon Lee, 2017. Implementation of Big Data Analysis System to Prevent Illegal Sales in the Cable TV Industry. Journal of Engineering and Applied Sciences, 12: 6542-6545.