What does big data monitoring mean?

Big data monitoring refers to the acquisition, collection, and analysis of data through big data technology, and the ability to accurately analyze information and effectively predict the dynamic trend of information development. Big data monitoring mainly revolves around massive amounts of network-wide data, and most of them require the help of monitoring systems to assist in analyzing the data.

The operating environment of this tutorial: Windows 7 system, Dell G3 computer.

What does big data monitoring mean?

Big data monitoring is to obtain, collect, and analyze data through big data technology, and to be able to accurately analyze information and effectively predict the dynamic trend of information development.

The statistical knowledge used in big data monitoring mainly revolves around massive network-wide data, using various types of massive data statistics to obtain more comprehensive and accurate data collection.

Most big data monitoring requires the help of monitoring systems to assist in analyzing data.

Big data monitoring tools

1. FineBI

FineBI business intelligence is a very professional self-service big data analysis BI software, in terms of processing Data, it's definitely professional. Not only that, in the process of processing data, FineBI can often simplify complex work and solve time costs for enterprises. And it is very convenient to use FineBI for data monitoring, which greatly improves office efficiency.

2. Cloudera

is also a professional big data monitoring software. In addition to data monitoring, this big data analysis computer software can also train employees. However, this kind of big data analysis computer software often requires a professional team to manage, so in terms of data monitoring personnel, it cannot help companies save costs, and may even increase costs.

3. MongoDB

is a relatively well-known big data analysis computer software on the market. It is more suitable for managing frequently changing data, so it is more or less effective in processing big data. Some flaws. It may not be suitable for every enterprise. If the enterprise's data does not change frequently, or if the data needs to be fixed, it is not suitable.

Big data monitoring is usually used to monitor variables, but data work is more complex and often requires more comprehensive software. Therefore, when enterprises choose data analysis software, it is best to choose a more comprehensive tool like FineBI.

But all this must be based on a useful data visualization platform. Popular ones on the market now include FineBI, Power BI, DataV, and Dingshu, but the authoritative organization IDC points out that FineBI ranks first in market share, and all of these can be used for data analysis.

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