Multivariate credit investigation query system based on big data technology

A big data technology and query system technology, applied in the field of multiple credit information query systems, can solve the problem of inability to query the query efficiency of multiple credit information data, and achieve the effect of improving the recognition ability and efficiency

Pending Publication Date: 2020-12-01
BANK OF SHANGHAI
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to provide a multiple credit information query system based on big data technology to solve the problems of inability to query multiple credit information data and low query efficiency in the prior art

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  • Multivariate credit investigation query system based on big data technology

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Embodiment Construction

[0037] Detailed description will be described in connection with the schematic illustration below. The advantages and features of the present invention will be more apparent from the following description. It is to be noted that the figures are in a very simplified form and are used in the use of non-precision ratios, which is for convenience only, and clarify the object of the embodiment of the present invention.

[0038] The order of these steps below, if the methods described herein comprises a series of steps, as presented herein is not necessarily the only order to carry out these steps, and some of the steps may be omitted and / or some not described herein other steps may be added to the process.

[0039] Most existing credit queries need to manually query, only the query even within the bank credit situation, very human waste, and low query efficiency. In addition, when the business system queries the high concurrent queries, bank or third Fang Zhengxin systems (such as Ji...

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Abstract

The invention relates to a multivariate credit investigation query system based on a big data technology, and the system comprises: a business subsystem which is configured to initiate a query requestto a query subsystem according to a query business; a query subsystem that comprises a synchronous query module and an asynchronous query module, wherein each of the synchronous query module and theasynchronous query module comprises an interface unit, a judgment unit, a storage unit and an external communication gateway unit, wherein the query subsystem is used for verifying interface permission of query requests and acquiring data inside and outside a bank, and the asynchronous query module also includes an asynchronous queue unit that is used for performing batch asynchronous processing on all the query requests. By adopting the synchronous query module, real-time query is realized, and the return efficiency is improved; by adopting the asynchronous query module, the query capabilityof the multivariate credit investigation query system is increased from the query quantity, and the problem caused by high concurrency is solved; and by integrating the data inside and outside the bank, the ability of identifying credit and anti-fraud risks is improved.

Description

Technical field [0001] The present invention relates to data query technology, and particularly relates to polyol based on a large credit inquiry system data technology. Background technique [0002] With the rapid development of financial markets, the impact of credit in our daily lives is also growing, such as banks can query understand the customer's credit situation, the customer's specific situation to judge, and then to control the scope of credit and optimize the credit structure and improve credit quality. Therefore, more and more public focus on your credit situation. [0003] So far, with the increase in the volume of business credit, business credit information query volume also increased, while the majority of existing credit queries need to query by artificial means, even only query within the bank credit situation, wasteful manpower, and low query efficiency. In addition, when the business system queries the high concurrent queries, bank or third Fang Zhengxin syste...

Claims

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Application Information

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IPC IPC(8): G06F16/2455G06F16/2457G06F16/2458G06F16/25
CPCG06F16/2455G06F16/2471G06F16/24578G06F16/252
Inventor 赵凯哥何祥长鞠爱宁张威袁燚杰周浩宋欣瑞
Owner BANK OF SHANGHAI
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