A dynamic adjustment multi-data source data integrated processing method and device
A multi-data source and data integration technology, applied in the field of network applications, can solve the problems of waste of resources, time cost and resource cost, and low efficiency of multi-data source data integration processing, so as to reduce maintenance costs, save development time, and improve operating efficiency Effect
Active Publication Date: 2019-04-26
SICHUAN XW BANK CO LTD
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[0014] In view of the above-mentioned research problems, the purpose of the present invention is to provide a method and device for dynamically adjusting multi-data source data integration processing to solve the problem of multi-data source data integration processing in the prior art when multiple data sources and multi-scenes frequently change. Low efficiency, waste of resources, and high time and resource costs for system development and maintenance
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[0069] In a preferred embodiment of the present invention, the technical application scenario is set as switching from application scenario A to a new application scenario B "predicting user credit level". The key data item used for decision-making in the new application scenario B is the user credit level Y, and the key data item Y depends on three data source data items stored in the data system DA, data system DB, and data system DC respectively x 1 、X 2 、X 3 . Among them, X 1 is "the number of overdue credit cards of the user in the past year", X 2 is "the number of overdue loans of the user in the past year", X 3 It is "the number of times the user applied for a credit card in the past year". At this time, due to the emergence of new application scenario B, X 1 、X 2 、X 3 The weight relationship of the three data source data items originally applicable to the data integration of application scenario A will no longer be applicable to the new application scenario B....
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The invention discloses an integrated processing method and device for dynamically adjusting multi-data source data. The invention discloses a multi-data-source data integration processing method, belongs to the technical field of network application, and solves the problems of low multi-data-source data integration processing efficiency, resource waste, high time cost and resource cost of systemdevelopment and maintenance and the like under the condition of frequent change of multiple data sources and multiple scenes in the prior art. The method comprises the following steps: executing a data calling command on N different systems, and returning data items of N data sources; Judging whether the application scene is changed or not; If the application scene is not changed, continuously judging whether the data source data item calling is failed or not; If the application scene changes or the data source calling fails, traversing and searching the weight relation of each data source data item capable of achieving the optimal decision effect, and updating the weight relation into the latest weight relation of each data source data item; And based on all the data source data items, performing weighted addition calculation to obtain a key data item Y for decision making. The method is suitable for integration of multi-data-source data of a multi-application scene.
Description
technical field [0001] A method and device for dynamically adjusting multi-data source data integration processing, used for the integration of multi-data source data suitable for multi-application scenarios, belongs to the field of network application technology. Background technique [0002] At present, with the increasing data dimensions that can be collected and the promotion of distributed data storage, most user decisions need to be carried out based on multiple data sources. Different data sources are distributed in different data systems due to different collection methods, storage methods, and transmission methods. How to coordinate the transmission and processing of data sources distributed in different systems will directly affect the timeliness and correctness of business decisions. A typical technical scenario is: the specific value of a key data item Y for user decision-making depends on N different data source data items (X 1 、X 2 ,...,X N ), and the N dat...
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IPC IPC(8): G06F16/2457G06F16/2458
Inventor 陈贻汕韩晗陈锐浩卫浩
Owner SICHUAN XW BANK CO LTD