Anomaly Detection in Telecommunications Using Complex Streaming Data | Whiteboard Walkthrough

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 Event Store, through analysis of the telecom data using clustering methods to discover normal and anomalous behaviors.

For additional resources on anomaly detection and on streaming data: