Anomaly Detection in Telecommunications Using Complex Streaming Data

Video created by maprcommunity Employee on Jun 19, 2017

    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.

     

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