What is stream based processing?

Stream processing is a big data technology that focuses on the real-time processing of continuous streams of data in motion. A stream processing framework simplifies parallel hardware and software by restricting the performance of parallel computation.

How is stream processing and complex event processing different?

Stream Processing Engines force you to write code, and often they do not have higher level operators such as windows, joins, and temporal patterns. In contrast, CEP engines provide you with high-level languages and support high-level operators.

What is event data processing?

Event processing is the capture, enrichment, formatting and emission of events, the subsequent routing and any further processing of emitted events (sometimes in combination with other events), and the consumption of the processed events. Events can be produced throughout a business enterprise.

Why is stream processing needed?

Stream processing unifies applications and analytics. This simplifies the overall infrastructure, because many systems can be built on a common architecture, and also allows a developer to build applications that use analytical results to respond to insights in the data–to take action–directly.

What is a Kafka stream processor?

Kafka Streams is a client library for processing and analyzing data stored in Kafka. It builds upon important stream processing concepts such as properly distinguishing between event time and processing time, windowing support, and simple yet efficient management and real-time querying of application state.

What is a CEP engine?

As CEP engines, event correlation engines (event correlators) analyze a mass of events, pinpoint the most significant ones, and trigger actions. However, most of them do not produce new inferred events. Instead, they relate high-level events with low-level events.

What is CEP computer?

Similar to event stream processing, complex event processing (CEP) is a technology for aggregating, processing, and analyzing massive streams of data in order to gain real-time insights from events as they occur.

What is SAS intelligent decisioning?

SAS Intelligent Decisioning enables organizations to conduct real-time customer interactions and automate operational business decisions at scale.