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The processing of data in real-time is critical in many scenarios, such as Industry 4.0, application performance monitoring (APM) and infrastructure monitoring. Often, significant volumes of data come in at high rates and applications must process data quickly and efficiently, without neglecting to combine them with the domain knowledge that is necessary to solve the user’s information needs. Stream processing unifies applications and analytics by processing data as it arrives, in real-time, and detects conditions within a short period of time from when data is received. The key strength of stream processing is that it can provide insights faster, often within milliseconds to seconds.
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