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NYC* 2013 - "A Big Data Quadfecta: Cassandra, Storm, Elastic Search and Kafka"

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Published on Apr 8, 2013

Speakers: Brian O'Neill and Taylor Goetz
A successful Big Data platform combines distributed processing and polyglot persistence into a single cohesive infrastructure. Over the past few years, Health Market Science has transitioned from traditional relational databases and enterprise systems to a massively scalable Big Data platform that combines Cassandra and Storm to ingest thousands of feeds of data from the health market industry to produce a single high-quality masterfile. Hear how we applied event processing and NoSQL to deliver real-time analytics, while accommodating structural change over time, and fuzzy/geospatial search.

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