Personalized big data analysis system and method
An analysis system and analysis method technology, applied in the field of personalized big data analysis system, can solve the problems of inability to flexibly meet customer needs, poor user experience, low development efficiency, etc., to achieve big data analysis, improve user experience, save money The effect of development costs
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2018-10-12
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Abstract
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...
Examples
Embodiment Construction
[0053] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.
[0054] The invention discloses a personalized big data analysis system, such as figure 1 As shown, it includes user-defined data module, data processing module and report generation module.
[0055] The user-defined data module is used for users to select personalized data sources according to their own business needs. Such as figure 2 Shown is a schematic diagram of the structural framework of the user-defined data module, including a data source selection unit, a multi-table association unit, a grouping condition setting unit and a data set output unit. in,
[0056] The data source selection unit is used for users to select data sources according to their own business needs.
[0057] The multi-table association unit is used to determine whet...