Also known as event streaming or reactive programming, event stream processing enables real-time processing, analysis, and reactions on real-time streams of data.

Event stream processing (ESP) is a data processing paradigm that can handle continuous event data streams in real time. Unlike traditional batch processing, ESP operates on data as it arrives, making …

A key function in event stream processing (ESP), event streaming enables IT infrastructures to handle large, continuous streams of events by processing data when the event or change happens.

Sep 26, 2025 · Learn how eventstreams can help you capture, transform, and route real-time events to various destinations in Microsoft Fabric.

Event stream processing (ESP) is the practice of taking action on a series of data points that originate from a system that continuously creates data. The term “event” refers to each data point in the …

Jul 30, 2025 · Event stream processing refers to the continuous analysis of data as it arrives, enabling organizations to act on information in real time.

Jun 1, 2023 · Event stream processing is a form of reactive programming that continually filters, processes, and analyzes incoming data. It performs lightning-speed computations and relies upon …

5 days ago · A data stream is continuously produced by various sources, like logs, sensors, or user activities. A stream processing system consumes these events as they arrive, applying …

Quickly map, monitor, and transform event-driven data in real time with Ignition’s Event Streams Module. Connect subsystems and streamline automation.

Dec 16, 2024 · This article teaches the reader about Event Streams and Event Stream Processing in great detail touching upon its working, use-cases, benefits, and examples.