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event stream processing (EDA) (ESP)

Event Stream Processing (ESP) is a technique for real-time analysis of big data. Event Stream Processing, which is used in Event-Driven Architectures( EDA), continuously analyzes events. As soon as an event occurs, the ESP technique can be used to determine the pattern and draw conclusions.

The enormous data streams of at Big Data are directly filtered and analyzed. Otherwise, corresponding events would be lost in the data stream and would not be available for analysis, corrections or changes. Due to the timeliness of the analysis, corrections in the configuration or in the algorithms can be carried out promptly. Detected events can be logged or, in terms of errors caused, handled.

Event Stream Processing (ESP) is a technique with which Big Data analysis can be performed in near real-time. ESP technology with real-time analysis and extremely short response times is a key technology for various business models. It can be used in machine control, automobiles, industrial plants in the Internet of Things( IoT). But it can also be used for event monitoring in financial transactions, detecting Internet fraud or monitoring supply chains.

Complex Event Processing( CEP) offers a comparable technology for monitoring, analyzing and controlling complex data streams in real time.

Englisch: event stream processing (EDA) - ESP
Updated at: 04.12.2017
#Words: 200
Links: big data, event-driven architecture (EDA), arsenic (As), event, data stream
Translations: DE

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