Event Stream Processing

About Event Stream Processing

Analyze continuously flowing data over long periods of time where low-latency incremental results are important

SAS Event Stream Processing enables you to build applications that can quickly process and analyze large volumes of streaming data so you can examine and understand events as the data is being generated. You can analyze continuously flowing data over long periods of time where low-latency incremental results are important.
Figure: Event Stream Processing Conceptual Overview
Event Stream Processing brings value in delivering real-time data for
  • Manufacturing or Field Service to identify anomalies in system or device performance and avoid equipment failure
  • Healthy professionals monitoring critical patient progress can receive patient vital statistics from various sensors across different equipment and respond to urgent alerts or send recommendations to patients remotely in real time.
  • Marketing for contextual analysis such as, streaming call data records to identify potential problems, patterns, or opportunities, and to enhance accuracy of predictions.
  • Banking and capital market and trading professionals can receive real-time analysis of transactions with very short latency to trigger real time alerts and actions for fraud detection and timely remedy.

To subscribe to this service during the Beta release, follow the instructions in Getting Started with Event Stream Processing