Aggregated data analysis method and device, storage medium and electronic device

Abstract

The invention discloses an aggregated data analysis method and device. The method includes the steps: extracting business data of remote servers, processing the business data and loading the processedbusiness data into data warehouses in a central server cluster; extracting corresponding data according to fields and requirements in the data warehouses, and analyzing the extracted corresponding data by the aid of a distributed parallel algorithm to obtain association relationships between the data; optimizing businesses according to the association relationships between the data to meet the requirements. According to the method and device, data with different storage structures and logic structures stored on the remote servers are converted, so that the data can be deployed and used by thecentral server cluster according to target data structures, slicing processing and parallel computing of data to be analyzed are performed by the aid of the distributed parallel algorithm, computingefficiency is improved, association relationships between the data to be analyzed are acquired according to the algorithm, and strong data support is provided for further optimization of the businesses.

Description

Technical field [0001] The present invention relates to the field of data processing, and more specifically, to a method and device for analyzing aggregated data. Background technique [0002] With the gradual maturity of the market economy, more and more attention has been paid to the standardization and standardization of enterprise management. Many branches established by enterprises during the rapid expansion period were not unified due to the initial establishment of standards and the merger of other enterprises. The differences in management modes lead to different standards used; the differences in these standards are reflected in the differences in the production process and the management of production materials, the data storage structure and logical structure of the ERP system, HR system, and CIMS system related to the production process; As a result, when standardization and standardization are implemented, the data of various branches cannot be used uniformly and eff...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the existing data aggregation system existing in the background technology, due to the differences in the data storage structure and logic structure among branches, it is impossible to effectively and uniformly use the data analysis, so that the enterprise cannot perform business optimization according to the data analysis results, and at the same time, the data is too large. When using data, the efficiency of data extraction is low, etc., the present invention provides a method and device for analyzing aggregated data, the method and device extract and transform the data in the remote servers of each branch and loaded into the central server cluster arranged in the head office, so that the data of different storage structures and logical structures stored on each remote server can be used by the central server cluster with the same structure through conversion; the method and system use distributed The parallel algorithm is used to analyze and process the corresponding extracted data, which greatly improves the data processing efficiency. At the same time, the method and system obtain the correlation between the data to be analyzed according to the algorithm, which provides strong data support for further business optimization. The methods include:

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