Data processing method and data processing device

Abstract

The invention relates to a data processing method and a data processing device. The method includes the steps of first, configuring basic information and calculation rules of indexes, wherein the indexes comprise number indexes and formula indexes; second, automatically loading index configuration information in the above step and completing the calculation of the indexes to obtain results of the indexes. The data processing device comprises a configuration module and a running module capable of automatically loading the configuration module. The data processing method can efficiently change original data in a fact table into final index data, thereby improving the calculation efficiency of the index data. The data processing device is simple in structure and easy to operate.

Description

technical field [0001] The invention belongs to the field of data calculation or data processing in the field of data warehouses, and in particular relates to a data processing method and device for improving data calculation efficiency and flexibility. Background technique [0002] With the rise of the concept of big data, various industries are actively using various structured and unstructured data generated in the production process of the industry based on data warehouse technology. Traditional data index calculation methods often require complex configuration operations or code development when calculating each index. The same or similar calculation processes cannot be reused, and there is a lot of repetitive work. The same configuration or development is required, resulting in a failure to respond to the needs of statistical analysis of user indicators in a timely manner. [0003] In the traditional data indicator calculation method, the calculation rules and the cal...

AI Technical Summary

Problems solved by technology

Traditional data index calculation methods often require complex configuration operations or code development when calculating each index. The same or similar calculation processes cannot be reused, and there is a lot of repetitive work. The same configuration or development is required, resulting in the inability to respond to the needs of statistical analysis of user indicators in a timely manner

[0003] In the traditional data indicator calculation method, the calculation rules and the calculation process are closely bound. This processing method has two disadvantages: first, when the indicator calculation rules are adjusted or new indicators are added, technical personnel are required to configure or adjust the code, and the system uses Second, there is no centralized management of indicators, intermediate calculation results and transition indicators cannot be reused, and double calculations often occur, resulting in low overall data calculation efficiency

Images