Stream processing is a data collection method that involves collecting, analyzing, and acting on data as it generates in real-time. There is no batch data processing after the data has been collected, instead, insights are pulled from the data as it flows into the system. This is an ideal process for applications or services that require immediate insights or responses to generated data.
Stream processing allows businesses to take action and make decisions as the data is coming in, instead of waiting for it to be processed or analyzed by a team. The system is designed to respond to issues quickly, making it ideal for issues that require real-time action. Examples of this could include fraud detection or live analytics. Stream processing is able to handle large amounts of data very quickly, including data being pulled from multiple sources.
