High Performance Data Mart Using Event Plots
summary
Shows a case study using asynchronous event processing to build near‑real‑time plots of events and states for finite state machine transactions (e.g., call processing) to avoid expensive postmortem mining across tens or hundreds of parameters for thousands of calls per hour. Describes creating “semi‑cooked” event plots that provide fast, customizable reports instead of performing millions of map/reduce operations.
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