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Kafka and Stream Processing, Taking Analytics Real-time

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Kafka Summit 2016 | Users Track

Do you think that analytics are run on stored data sets? Think again, the combination of Apache Kafka and Stream Processing enables analytics on real-time data streams.

First, we give a brief overview of stream processing and how it differs from the request response model of analytics on stored data. Next, we cover the characteristics of Kafka which make it such a good fit for Stream processing and why they matter. Finally, we show a number of use cases which highlight how stream processing is being used to do real-time analytics at scale with very low latency.

Speaker:

 Mike Spicer, Senior Technical Staff Member and Chief Architect, IBM and IBM Streams

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