With constant digital evolution, the sources of streaming data are rising, such as IoT, networked devices, online activities of various kinds, server log files, and so on. And with every industry becoming reliant on this data to unlock data-driven business insights, streaming processing systems power everything from real-time fraud detection, stock trading platforms, and sentiment analysis from social media feeds to multiplayer games and GPS tracking.
However, streaming data is generated at very high velocities by many data sources. Thus, it can be challenging to build robust stream processing solutions. This article describes how stream processing works and the fundamental building blocks of its architecture.