Anomaly Detection with ElasticSearch

One of the technologies that I’m hearing more about is ElasticSearch. In particular the combination of ElasticSearch, Logstash, and Kibana (the ELK stack) has proven to be a popular platform for real-time analytics on both structured and unstructured data. I’ll be hosting a webcast on October 30th on the ELK stack featuring Mark Harwood, software engineer at Elasticsearch and long-time contributor to Lucene:

Mark will demonstrate how to use Elasticsearch to detect anomalies in datasets. You will see real world examples of how Elasticsearch can help spot credit card fraud, identify incorrectly tagged movies and detect product reviews on e-commerce sites that have been faked

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