Speaker: Mark Johnson
Real-time analytics is the process of monitoring and often reacting to web based events or machine-to-machine communication and then quickly deliver the appropriate response to an end-user or machine process. The challenge though is how can we modify the analytics algorithms and reference data without shutting down the data feeds.
In this session we will demonstrate architectural and implementation patterns utilizing Spring Integration Framework, HBase, and of course Groovy to illustrate how it is possible to dynamically change your enterprise’s real-time algorithms without a system restart.
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