Big telco real-time network analytics

Data transfer is one of the most pressing problems for telecom companies, as cost increases in tandem with the growing data requirements. Yousun Jeong details how SKT has dealt with this problem.

Data transfer is one of the most pressing problems for telecom companies, as cost increases in tandem with the growing data requirements. In addition, the increase in requirements due to use of more sophisticated smartphones has brought serious business bottlenecks to companies that depend on near-real-time analytics, using Hadoop to load petabytes of data. Yousun Jeong details how SK Telecom (SKT) has dealt with this problem with a network quality analytics platform. Yousun explains how the platform helps the company process real-time network data more efficiently, using Spark and Druid for high-speed large enterprise data processing and analytics. SKT’s network quality analysis has led to reliable wireless network and network optimization.