What Is Stream Processing?

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Say goodbye to email and hello to the future of communication. Ever since the dawn of time, we've been communicating via email. Now, that's all about to change. Email is dying, and it's being replaced with… streams. Stream processing is the process of analyzing streaming data in real-time. Analysts can continuously monitor a stream of data to achieve various goals. Stream processing to optimize data flow is popular with tech firms, for example, in use by social media platforms like Facebook and Twitter. Still, it is also helpful in a broader spectrum of tech uses where companies want to direct data flow in a more precise or specialized way, for instance, in IaaS and PaaS offerings (Infrastructure as a Service / Platform as a Service) or various types of ERP resources (Enterprise Resource Planning). If you've ever tried to monitor the temperature of a room, you know it takes work. You can't just slap a thermometer on the wall and wait for it to trigger an alarm when things get too hot or cold. You must be there, watching that thermometer all day, waiting for it to go off. Even then, sometimes you need to do better. Maybe you're out running errands when your daughter gets home from school and turns up the heat in her bedroom before she starts doing her homework. That could lead to some pretty chilly days for her! What if there was a way to ensure those days never happened? What if this technology didn't require any human intervention? Well, guess what: There is! Stream processing technology can monitor a real-time data stream that measures some properties, such as the temperature of a room. The stream processing technology is always running in real time. When the room's temperature hits an exceptionally high or low "strike point," some event is triggered, such as turning on (or off) a heating or cooling system.

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