Provided by: International Journal of Computer Science and Information Technologies
Topic: Big Data
Date Added: May 2012
The increased number of service offerings and available functionality result in an ever growing volume of Call Detail Records (CDRs). For many services (e.g., pre-paid), CDRs need to be processed and analyzed in near real-time for several reasons, including charging, on-line subscriber access to their accounts, and analytics for predicting subscriber usage and preventing fraudulent activity. In this paper, the authors describe the challenges associated with near real-time Extract, Transform and Load (ETL) of CDR data warehouse flows for supporting both the operational and business intelligence needs of telecommunication services and they present their approach to addressing these challenges.