June 2018
Intermediate to advanced
348 pages
8h 45m
English
Basically, the reactive programming model treats events as a Stream of data propagating through a change-propagation graph. For this to happen, we need to aggregate event elements to a container-based data structure and create a Stream out of that. Sometimes, we even apply statistical techniques to sample events, if there is plenty of data. The generated Stream can be filtered and transformed at the source level using functional transformation, before being notified to the observers who are waiting to get notified. The event source is supposed to take a fire-and-forget approach to event-Stream dispatch, to avoid the coupling between Event source sinks and the Event sinks . When to dispatch ...
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