Real-time Analytics and Anomalies Detection using Elasticsearch, Hadoop and Storm

Real-time Analytics and Anomalies Detection using Elasticsearch, Hadoop and Storm

Finding relevant information fast has always been a challenge, even more so in today’s growing “oceans” of data. This talk explores the area of real-time analytics and anomalies detection (in particular credit card fraud) using Apache Hadoop as a data platform, Apache Storm for real-time computation, data ingestion and orchestration and Elasticsearch for performing advanced real-time searches. This session will focus on the architectural challenges of bridging batch and real-time systems and how to overcome them, keeping a close eye on performance and scalability. We will cover the architectural topics such as partition strategies, data locality, integration patterns and multi-tenancy.

Presented by Costin Leau at Hadoop Summit North America 2014

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Elasticsearch Inc

June 03, 2014
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