![]() While this type of system sounds like a game changer, the reality is that real-time systems are extremely hard to implement through the use of common software systems. Other situations where using real-time systems would be beneficial are: ![]() Whether this was achieved by using a software architecture that utilized stream processing or just processing in hardware is irrelevant the guarantee of the tight deadline is what makes it real-time. If a stock quote should come from the network within 10 milliseconds of being placed, this would be considered a real-time process. ![]() One of the best examples of a real-time system are those used in the stock market. ![]() A system can be categorized as real-time if it can guarantee that the reaction will be within a tight real-world deadline, usually in a matter of seconds or milliseconds. Real-time operating systems typically refer to the reactions to data. This post will explain the basic differences between these data processing types. But what to do with all this data? It can be difficult to know the best way to accelerate and speed up these technologies, especially when reactions must occur quickly.įor digital-first companies, a growing question has become how best to use real-time processing, batch processing, and stream processing. This allows numerous advantages, of course. With the constant rate of innovation, developers can expect to analyze terabytes and even petabytes of data in any given period of time.
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