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Apache: Big Data Europe 2016
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Tuesday, November 15 • 16:30 - 17:20
Meerkat: Anomaly Detection as a Service - Julien Herzen, Swisscom

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Julien will present Meerkat, a system built at Swisscom to do real-time anomaly detection on time series. Meerkat uses a combination of machine learning and big data technologies in order to trigger alerts in case of problems in Swisscom network.

Meerkat monitors arbitrary time series and trains statistical models that can be used to spot anomalies from both batch (historical) and streaming (live) data. It is composed of a Python modules for anomaly detection and data ingestion from Druid, as well as Scala modules using Apache Spark for ingesting from Apache Kafka and Apache Hadoop's HDFS.

Meerkat is currently successfully used at Swisscom to trigger alerts in case of problems with VoIP calls, which represent more than 3 millions phone calls per day.

This is joint work with Khue Vu, who worked on Meerkat for his MSc thesis at EPFL, and the network intelligence team of Swisscom Innovation.

Speakers
avatar for Julien Herzen

Julien Herzen

data scientist, Swisscom
Julien is a data scientist at Swisscom. His experience lies in the areas of machine learning and network algorithms, and his current work includes building analytics and monitoring platforms using big data technologies such as Apache Spark, Druid and Apache Cassandra. He has a PhD from EPFL and talked at various venues such as IEEE Infocom, IEEE ICNP, ACM Mobicom and the Swiss machine learning days.


Tuesday November 15, 2016 16:30 - 17:20
Giralda V

Attendees (25)