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DESCRIPTION:Click for Latest Location Information: http://nosql2013.dataversity.net/sessionPop.cfm?confid=74&proposalid=5557\nAccelerating Hadoop HBase to process live, high velocity unstructured data streams delivers the low latency, streaming operational intelligence demanded by today's real-time businesses. Hadoop has been the driving force behind Big Data Analytics but as the technology hits the mainstream, many industries are seeking to take a step further and eliminate latency from their business completely. With the emergence of both streaming and the SQL language as key components of Big Data architectures, this presentation discusses how to extend HBase with streaming SQL queries. Streaming queries effectively extend the Hadoop HBase platform out to the edge of the network, making it possible to query unstructured log file, sensor and network machine data sources on the fly and in real-time.
DTSTART:20130822T093000
SUMMARY:Streaming Hadoop HBase Case Study: Turbo-charging Hadoop for real-time machine data analytics
DTEND:20130822T095959
LOCATION: See Description
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