Data integration method based on data lake, server and storage medium
A data integration and server technology, applied in the field of big data, can solve problems such as increased storage costs, difficulty in quickly adjusting the structure of stored data, inflexible data use, etc., to achieve the effect of improving flexibility
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[0031] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0032] like figure 1 Shown is a schematic diagram of the system architecture based on the data lake in the present invention.
[0033] The present invention aims to provide a data integration system based on a data lake. The system receives the original form data of the data source and saves it in the data lake. The data lake is a storage system that can store a large amount of data from different sources and in different formats. The system includes storage space for multiple data pools, such as original data pool, simulated data pool, application data pool, text data pool and file data pool. The system receives raw data from the data source and directly stores it in the raw data pool without processing, classifies it in the raw data pool, and then classifies it into the corresponding classification data pool, such ...
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