A data receiving and forwarding method, electronic device and readable storage medium

Abstract

This solution provides a data receiving and forwarding method, electronic equipment and a readable storage medium, wherein the steps of the method include: acquiring data information; judging the data type contained in the data information; if the data types are the same , then directly forward; if the data types are different, obtain a pre-built associated data instance corresponding to the data information, and forward the associated data instance; wherein, the associated data instance includes: the data information and the The associated Linked Data. The technical solution described in this application can greatly reduce the resource occupation of the system and the delay of data acquisition on the basis of ensuring that the original business system is not invaded, and improve the speed of data receiving and forwarding; on the premise of no coupling, it can greatly reduce the It improves the business expansion space and realizes the re-mining of data value; since the logical relationship between data is directly expressed by using associated data instances, the business is clearer and easier to operate.

Description

technical field [0001] The present application relates to the field of financial information management, in particular to a data receiving and forwarding method, electronic equipment and a readable storage medium. Background technique [0002] In the financial field, lending business is becoming more and more common and popular, and the amount of loan information storage is also increasing. When it is necessary to integrate one or more data sources and hand them over to downstream businesses, for example, a company started small cash lending business at the beginning, then added online shopping installment business, and now is about to start a new car purchase loan business. At this time, the petty cash loan business data and the online shopping installment business data can be integrated in real time to serve the car loan business. When new business comes in, these data can be used as decision-making reference data in time. For example, when making decisions, you need to un...

AI Technical Summary

Problems solved by technology

[0003] Because the data comes from different places, there is a time difference, which will inevitably bring a time delay, which is not friendly enough or even fatal for a real-time system

In order to solve this problem in the existing technology, the original system is redesigned, so that multiple pieces of data are classified into one storage, which can solve the problem of time delay to a certain extent, but there is a problem of intrusion and development of the original system , not only the workload is heavy, but also it is easy to bring new problems, and if the data is forcibly normalized, the data will become messy and lack of logic, which is a fatal obstacle to data mining and expansion.

Timed polling can also be used to actively pull data, but this will bring additional performance overhead to the original data system, and even affect the normal development of the original business, essentially invading the original system. This kind of regular polling to pull data will require multiple acquisitions to obtain complete data. Only the last one is an effective operation. The previous operations are actually wasteful.

In this way, even if the dependent data is already in place, there is a time delay due to the next polling

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