In recent years, Apache Flink has established itself as the de facto standard for real-time stream processing. Stream processing is a paradigm for system building that treats event streams (sequences of events in time) as its most essential building block. A stream processor, such as Flink, consumes input streams produced by event sources, and produces output streams that are consumed by sinks. The sinks store results and make them available for further processing.
Household names like Amazon, Netflix, and Uber rely on Flink to power data pipelines running at tremendous scale at the heart of their businesses.
