SAS Event Stream Processing continuously ingests, processes and delivers insights on live data stream detecting patterns of interest, predictive results, and pattern detection. No stream of data is too big or too fast. SAS Event Stream Processing provides design-time programming interfaces for data scientists and graphical drag and drop interfaces for business analysts, a low-latency, high throughput run-time engine for exceptional processing speeds, as well as deployment and monitoring components for operational system support to quickly publish analytics into production environments. Whether data generated is machine-readable, human-readable or a combination of both, SAS Event Stream Processing scales to analyze millions of events per second (before it is persisted to a data store) – helping you decide what’s important to action, what can be ignored and what should be stored. So if response time counts, and action needs to be taken before the data is out-of-date (i.e. low latency), and/or when the data throughput volume requires decisions be made before the data is stored, SAS deciphers streaming data to generate alerts that need to be issued, pinpoint event relevance and urgency for action and delineate signals from the noise for further processing. For all types of users who support mission critical processes and digital transformation, SAS Event Stream Processing provides the ability to deploy streaming analytics solutions that are industry agnostic.