Personalized big data analysis system and method

Abstract

The invention relates to the technical field of the computer, and discloses a personalized big data analysis system. The system comprises a user self-defining data module, a data processing module anda statement generating module, wherein the user self-defining data module is used for performing personalized data source election according to the own service demand; the data processing module is used for setting personalized data processing condition according to the own service demand and performing data processing according to the data processing condition by the user; the statement generating module is used for creating the statement needing to be displayed by the user according to the own service demand. Through the system and method disclosed by the invention, the self-defining development of the data analysis statement is realized, the development cost is saved, the development efficiency is improved, the personalized development demand of the client is satisfied, and the response to the big data analysis is fast and the user experience is good.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a personalized big data analysis system and method. Background technique [0002] With the advent of the era of big data, the traditional data reports are far from meeting the requirements of the software system, and there are mainly the following deficiencies: [0003] Traditional data reports are developed and designed by software developers according to customer needs. Different reports have to be developed for different needs. This method has low development efficiency, heavy workload, and cannot meet the needs of all customers. It is even more important for the realization of productization. There are many difficulties, especially for saas products, which are aimed at many customers and cannot flexibly meet all customer needs. [0004] In addition, we are currently in the era of data explosion, and the amount of data has increased rapidly. Data reports based on traditiona...

AI Technical Summary

Problems solved by technology

[0003] Traditional data reports are developed and designed by software developers according to customer needs. Different reports have to be developed for different needs. This method has low development efficiency, heavy workload, and cannot meet the needs of all customers. It is even more important for the realization of productization. There are many difficulties, especially saas products, which are aimed at many customers and cannot flexibly meet all customer needs

[0004] In addition, we are currently in the era of data explosion, and the amount of data has increased rapidly. Data reports based on traditional databases have failed to meet the requirements of fast response, and even have reached the point where they cannot be loaded. Results cannot be calculated, and the user experience is extremely poor.

Images