Stream processing is rapidly growing in adoption and expanding to more and more use cases as the technology matures. While in the early days stream processors were used to compute approximate aggregates, today’s stream processors are capable of powering accurate analytics applications and evaluating complex business logic on high-throughput streams. One of the most important aspects of stream processing is state handling—i.e., remembering past input and using it to influence the processing of future input.
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