The AnomalyDetector operator in the time series toolkit can be an invaluable tool for detecting anomalies in real-time. If you are not familiar with the AnomalyDetector operator, please take a look at this article first: Anomaly Detection in Streams. In summary, this operator works by comparing the current time series data with a reference pattern (the reference pattern is updated based on a recent history of input time series). The more the current time series pattern diverges from the reference pattern, the more anomalous the current pattern is.
Hangout: Apache Quarks on Raspberry Pi
In this Google+ Hangout, we are going to show how you can use Quarks to work with real sensor data on a Raspberry Pi. We will also show a demo application, where we implemented a smart sprinkler system using Apache Quarks, Raspberry Pi, Watson IoT Platform and the Streaming Analytics Service.
Sign up at our events page, then watch live 10am-11pm PST so you can ask the experts your questions.