Data analysis system

Abstract

The invention relates to the technical field of software, particularly provides a data analysis system, and aims to solve the technical problem of how to reduce the system upgrading difficulty and cycle of the data analysis system. In order to achieve the purpose, the data analysis system according to the embodiment of the invention comprises a data model library and a model management and control module, and a data analysis model stored in the data model library can perform data analysis on to-be-analyzed data in response to an operation instruction; the model management and control module can generate a new data analysis model by running a program script in a model adding instruction and store the new data analysis model in a data model library. Based on the functional topological structure, the embodiment of the invention can support a user to flexibly add and delete the data analysis model, and obviously reduces the upgrading difficulty and period of the system. In addition, when the data analysis model is added or deleted, normal operation of other data analysis models cannot be affected, and therefore system upgrading work can be completed under the condition that normal use of the data analysis system by a user is not affected.

Description

technical field [0001] The invention relates to the technical field of software, in particular to a data analysis system. Background technique [0002] With the rapid development of big data analysis technology, big data analysis systems have also been widely used in different application scenarios such as banks. Big data analysis systems can perform data analysis and mining on large amounts of data acquired / stored by computer equipment to meet application The business requirements of the scenario. At present, the conventional big data analysis system is mainly customized and developed according to different application scenarios such as the business needs of banks. After the system development is completed, if the function of the system needs to be upgraded, the R&D personnel often need to re-develop and design the entire system. , the R&D personnel must communicate repeatedly with the business personnel, and only after determining the accurate business requirements and th...

AI Technical Summary

Problems solved by technology

At present, the conventional big data analysis system is mainly customized and developed according to different application scenarios such as the business needs of banks. After the system development is completed, if the function of the system needs to be upgraded, the R&D personnel often need to re-develop and design the entire system. , the R&D personnel must communicate with the business personnel repeatedly, and only after determining the accurate business requirements and the operating environment of the software system can they carry out the research and development of function upgrades, which will not only consume a lot of manpower and material resources, but also significantly increase the upgrade cycle of the system

Moreover, when installing the system after the upgrade, the old system that has not been upgraded must be stopped before the system upgrade can be installed, resulting in users being unable to use the system normally during the system upgrade.

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