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