Streaming data is data that is collected and processed in real-time. In the context of data analytics, streaming data can be used to gain insights from data that is available in real-time, such as data on app or website usage, or data collected by sensors or devices.
Streaming data can be processed through streaming analytics, a type of analytics that focuses on processing data in real-time. The goal of streaming data is to gain insights from data available in real-time, and to respond to changes in the data in real-time. Streaming data can be used by businesses as well as governments and nonprofit organizations, depending on the goals and needs of the organization.
Streaming data can be used for real-time monitoring, for example, to quickly detect problems and react to events. It can also be used for real-time decision-making, for example, in the case of adjusting prices on e-commerce Web sites based on demand. Streaming data has become an important part of big data analytics and has led to new applications in machine learning, artificial intelligence and Internet of Things.
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