Performance service system and method based on big data architecture

Abstract

The invention belongs to the technical field of data computing processing, and discloses a performance service system and a performance service method based on a big data architecture. The performanceservice method comprises the steps of: storing applied data in a big data platform, synchronizing transaction data in real time by the big data platform; re-calculating a staff performance commissionwage after a user modifies a commission scheme at any time. The performance service method is characterized in that: re-calculation of data during the time period such as the current day, the currentmonth and the current season is supported; micro service architecture development is adopted, and a development mode of domain model driving design is used to perform high cohesion and low coupling extension. Through adoption of the performance service method of the invention, a performance statistic result can be calculated in real time, delay of a system can not be caused by data size, and performance commission data during the time period exceeding one season or half a year can be quickly calculated after the user modifies the commission scheme or closes the accounting.

Description

technical field [0001] The invention belongs to the technical field of data processing, and in particular relates to a human efficiency service system and method based on a big data framework. Background technique [0002] The invention belongs to the technical field of big data computing, and discloses a human efficiency service system and method based on a big data architecture. The human efficiency service method based on a big data architecture includes: application data is stored on a big data platform, and the big data platform is synchronized in real time Transaction data; users recalculate employee performance commission salary after modifying the commission plan at any point in time; support recalculation of the time period data of the day, this month, and this quarter; specifically adopt the development method of micro-service architecture and use domain model-driven design, Extend with high cohesion and low coupling. The present invention can calculate performanc...

AI Technical Summary

Problems solved by technology

[0005] Existing human efficiency services in the industry, such as employee performance commissions and salary settlement, all support a small amount of order data (the order volume per day is less than one million, tens of millions). Level cannot achieve real-time accounting data

The reason is that apart from the fact that the order volume cannot reach this level and the technical architecture is not novel enough, there is no support from the big data platform, the transaction data cannot be synchronized to the dedicated big data platform in time, there is no workflow scheduler, and the entire task execution process requires Participate manually and keep an eye on the progress of each task

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