Enterprise-level service-data fusion data analysis system based on big data platform

Abstract

The invention discloses an enterprise-level service-data fusion data analysis system based on a big data platform. The system comprises a data acquisition module, a data storage module and a monitoring analysis module. The data acquisition module is used for extracting and importing data from various data sources. The data storage module stores the data, cleans and converts the data through a bigdata platform technology, and processes the data into a data set. The monitoring and analyzing module is used for mining, evaluating and analyzing the data set and establishing a corresponding visualmodel. The system aims to promote deep fusion of internal and external services and data of each service system, finally realize cross-specialty, cross-department and cross-unit service and data sharing fusion, and assist in perfecting a power enterprise full-service operation monitoring service management method and improving platform data mining and analysis capability.

Description

technical field [0001] The present invention relates to a data analysis system, and more specifically, relates to a data analysis system constructed using big data platform technology. Background technique [0002] With the continuous expansion of the operation and monitoring business of electric power enterprises, the continuous refinement of data mining requirements, and the increasingly precise management and service work, new requirements have been put forward for the business management and data management of electric power enterprises; how to make full use of big data technology for enterprises Sorting out, splitting, reorganizing, and merging massive traffic monitoring data to realize data-driven business vertical extension and horizontal expansion, and business-driven data vertical mining and horizontal sharing for sound development. [0003] At present, the construction and development of informatization in electric power enterprises partially supports the operation...

AI Technical Summary

Problems solved by technology

[0003] At present, the construction and development of informatization in electric power enterprises partially supports the operation monitoring business. From a business perspective: vertically, business analysis is not deep enough, and horizontally, business analysis is insufficient for cross-professional, cross-department, and cross-unit online collaborative office capabilities; from a business perspective At the data level: the depth of data analysis and mining is not enough vertically, and the degree of data sharing across disciplines, departments, and units is insufficient horizontally

The fundamental reason is that the business and data between the various levels are managed in a chimney manner. The data and business processes between cross-business systems are currently managed independently and linearly, and the degree of interaction and sharing is relatively weak.

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