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

Time-turner: Strata NYC 2014, day 2

There are so many good talks happening at the same time that it’s impossible to not miss out on good sessions. But imagine I had a time-turner necklace and could actually “attend” 2 (maybe 3) sessions happening at the same time. Taking into account my current personal interests and tastes, here’s how my day would look:

11 a.m.

11:50 a.m.

1:45 p.m.

2:35 p.m.

4:15 p.m.

5:05 p.m.

Time-turner: Strata NYC 2014, day 1

There are so many good talks happening at the same time that it’s impossible to not miss out on good sessions. But imagine I had a time-turner necklace and could actually “attend” 2 (maybe 3) sessions happening at the same time. Taking into account my current personal interests and tastes, here’s how my day would look:

11 a.m.

11:50 a.m.

1:45 p.m.

2:35 p.m.

4:15 p.m.

5:05 p.m.