Let's take a look at what big data is. Big data is data that reaches large scale, extremely fast circulation speed, diversity of data types and sources, low-value density and data that can reflect the authenticity of things.  So what's the difference between big data monitoring and big data capture analysis? Today, we can introduce it to you through the network.

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1. Different meanings.

Big data monitoring is to acquire, collect and analyze data by means of big Data Technology, analyze information accurately, and effectively predict the dynamic trend of information development.  Big data capture analysis refers to the data collection that cannot be captured, managed and processed by conventional software tools in an affordable time range, and the data is collected statistically by appropriate statistical analysis methods.

2. There is no essential difference between the statistical knowledge used by the two

The knowledge used in big data monitoring mainly revolves around massive whole network data, and the same is true for big data capture analysis. Various types of massive data statistics are used to obtain more comprehensive and accurate data collection.

3. The software tools of the two are different

Most of the big data monitoring needs the help of monitoring system to analyze data, while the big data capture analysis is a combination of the two. With the monitoring system and software tools, data analysis will not only produce analysis effect evaluation, but also upgrade products based on it.

About the difference between big data monitoring and big data capture analysis, Xiaobian will introduce it here!

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