Blend, cleanse and prepare data for analytics, reporting or data modernization efforts
Jim Harris says event stream processing determines if big data is eventful and relevant enough to process and store.
The metaphors we choose to describe our data are important, for they can either open up the potential for understanding and insight, or they can limit our ability to effectively extract all the value our data may hold. Consisting as it does of nothing but electric potentials, or variations in
Determining the life cycle of event stream data requires us to first understand our business and how fast it changes. If event data is analyzed, it makes sense that the results of that analysis would feed another process. For example, a customer relationship management (CRM) system or campaign management system like
