Stream Processing: Stream processing is a technology that lets users query continuous data stream and detect conditions within small time period after receiving the data. The decision is made to know which data should be stored and which should be discarded. In some situations, large volumes of data enter the system, but it is not feasible to store all of the data. So as soon as the data enters the system, it should be processed and filtered to detect which data to keep and which data to discard. Feedback Loop Processing: Feedback loop is the process of capturing data, then processing it into information, and using that information for other purposes. It refers to the process of data analysis to produce actionable results. Feedback loop is a key component in data analytics, which helps organizations sift through terabytes and petabytes of data to help decision makers in making strategic and tactical decisions faster.

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using r language

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Chapter 14, Problem 6RQ

Program Plan Intro

Stream Processing:

Stream processing is a technology that lets users query continuous data stream and detect conditions within small time period after receiving the data.

The decision is made to know which data should be stored and which should be discarded.

In some situations, large volumes of data enter the system, but it is not feasible to store all of the data.

So as soon as the data enters the system, it should be processed and filtered to detect which data to keep and which data to discard.

Feedback Loop Processing:

Feedback loop is the process of capturing data, then processing it into information, and using that information for other purposes.

It refers to the process of data analysis to produce actionable results.

Feedback loop is a key component in data analytics, which helps organizations sift through terabytes and petabytes of data to help decision makers in making strategic and tactical decisions faster.

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