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What exactly is a big data analysis platform?
Before building a data analysis channel, it is important to clarify the transaction demand scenarios and user needs, through the big data analysis channel, what valuable information you want to get, what data you need to access, and clear scenarios based on the transaction requirements of the data channel to have the basic functions, from bottom to top can be divided into four levels:

Data collection layer: the bottom layer is a variety of data sources, mainly The collection and analysis of the underlying data of the enterprise, the integration of fragmented data, including the enterprise's core transaction data, user data, log data, group data, etc., generally have the traditional ETL offline collection and real-time collection of two ways

Data storage and processing layer: with the underlying data, and then based on the needs and scenarios of different data pre-processing, storage to a suitable persistent storage layer.

Data analysis layer: here we need to use the BI analysis system.

Data use layer: according to the different needs of different categories of business use, mainly for the final data display and visualization.

In summary, the enterprise on the data, power requirements of the gradual increase, but also to the big data to provide the ability to show the channel, the enterprise to build big data channels, in the final analysis, is to build the enterprise's data property operations center, play the value of the data, to support the development of the enterprise.

On what exactly is the big data analytics platform, Qingteng Xiaobian will share with you here. If you have a strong interest in big data engineering, I hope this article can help you. If you still want to learn more about data analysts, big data engineers tips and materials, you can click on other articles on this site to learn.