Monitoring method and device applied to data processing, equipment and medium

Abstract

The invention provides a monitoring method and device applied to data processing, equipment and a medium, and the method comprises the steps: detecting whether the state of at least one operation link is normal or not in a data processing process of batch operation; when it is determined that the state of the operation link is abnormal, generating a corresponding alarm short message and an event notice; sending the alarm short message to a first preset terminal; and when it is determined that the type of the alarm short message is a preset type, terminating the batch operation. According to the method, abnormal conditions possibly occurring in each link of the batch operation can be monitored, and technicians can be timely and accurately notified, so that the technicians can timely process the abnormal conditions, the normal and stable operation of the system is greatly prevented from being influenced by untimely fault processing, and the reliability of the system is improved.

Description

Technical field[0001]The present application relates to the technical field of data processing, in particular, the present application relates to a monitoring method, apparatus, device, and medium applied to data processing.Background technique[0002]In order to dig the digital economy, boost the transformation and upgrading, the bank's digital transformation strategy has become an inevitable trend. In order to achieve digital transformation, the one hand needs to establish a new assessment dimension and assessment index system, comprehensively promote digital construction; on the other hand, it is necessary to explore deep excavation in the fields of payment, guest, credit, intelligent, and wealth management. Therefore, a stable and efficient data processing system has become an urgent need.[0003]The current bank generally applied customer data basic systems and indicator system systems, applied data-driven refined operations, data-driven user operations, data-driven Internet produc...

AI Technical Summary

Problems solved by technology

[0004] 1. The processing time of massive data is long, and it cannot adapt to the data processing with high timeliness

[0005] 2. The proportion of discarded dirty data is relatively large, which directly affects the accuracy of data;

[0006] 3. The data processing process lacks monitoring, resulting in unstable processing indicators

Once the above abnormal situations occur in the data processing process, the timeliness will be affected at the slightest, and the accuracy of the data will be affected at the worst, resulting in the deviation of the entire digital orientation

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