Anomaly Detection in Telecommunications Using Complex Streaming Data Whiteboard Walkthrough

The telecommunications industry is on the verge of a major transformation through the use of advanced analytics and big data technologies like the MapR Converged Data Platform. The MapR Guide to Big Data in Telecommunications is designed to help you understand the trends and technologies behind this data driven telecommunications revolution. In this week's Whiteboard Walkthrough Ted Dunning, Chief Application Architect at MapR, explains in detail how to use streaming IoT sensor data from handsets and devices as well as cell tower data to detect strange anomalies. He takes us from best practices for data architecture, including the advantages of multi-master writes with MapR Streams, through analysis of the telecom data using clustering methods to discover normal and anomalous behaviors. I'd like to talk a little bit about data processing in the context of telecom.