Stream Processing on Hadoop

Hosted By
Ryan B.

Details
Abstract: Stream processing has generated a lot of attention in the Hadoop Ecosystem. Much in the same way that MapReduce enabled distributed batch processing, new frameworks like Spark Streaming and Storm offer distributed near-real-time stream processing. In this talk, we discuss streaming use-cases, the tools available, and demonstrate a stream processing use-case.
Parking: There are two options to pay for parking in the adjacent Anderson ramp. You can either enter/exit with a credit card, or you can take a ticket and use the pay kiosk on the northeast corner of the ramp to get an exit ticket.
Food: Pizza and drinks, first come first serve, starting at 6:30PM.
Map: http://bit.ly/RCtaTI

Twin Cities Spark and Hadoop User Group
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Stream Processing on Hadoop