CHAPTER 7
Making Sense of Chaos in Real Time: Part 1
This chapter discusses making sense of a large variety of types of events, as well as lots of events; reducing the numbers of events and concentrating the information; gross filters, filtering, prioritization, categorization and selective streaming, including:
- Organizing event flows and event processing strategies
- Categories of event processing strategies
- Gross filtering and prioritization
Most organizations have to deal with events from many different sources. This can become a major issue when, for example, a company tries to expand its business into new markets or is faced with marketing new products. And of course commercial entities and governments are already overrun with the expanding space of types of events that are “out there.”
One of the first problems is how to deal with large numbers of different types of events. This requires different kinds of strategies from those used to dealing with large numbers of events of the same type or maybe just a few different types (as is usually the case in, e.g., stock trading).
Typically, events are flowing into a large enterprise on a worldwide basis from a myriad of sources and at greatly different event rates varying from thousands of events per minute to just a few events per month. Additionally, the quality of information contained in the events can vary greatly depending upon the sources. In some cases, much irrelevant stuff is mixed in with highly relevant data. CEP principles ...
