Data integration task generation method and apparatus, device, and storage medium

By parsing user input text using a natural language processing model, the system automatically identifies source and target system metadata and assesses resource requirements, and automatically generates data integration tasks. This solves the problem of insufficient intelligence in existing technologies and enables the construction of efficient and stable data integration tasks.

CN122173218APending Publication Date: 2026-06-09BEIJING PERCENT INFORMATION TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING PERCENT INFORMATION TECH CO LTD
Filing Date
2026-01-20
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

The current data integration task construction process relies on manual configuration via graphical interfaces, resulting in limited intelligence, lack of resource assessment capabilities, and impact on execution efficiency and stability.

Method used

By parsing user-inputted text using a natural language processing model, the system automatically identifies metadata from the source and target systems. Combined with task scheduling strategies, it intelligently assesses resource requirements and automatically generates data integration tasks.

Benefits of technology

It achieves intelligent and automated operation of the entire process from task creation to resource scheduling, improving the efficiency and stability of data integration task construction.

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Abstract

The method comprises the following steps: obtaining natural language text input by a user; analyzing the natural language text by using a natural language processing model to obtain structured task parameters; determining a source system and a target system according to a source system identifier and a target system identifier respectively, and obtaining first metadata and second metadata from the source system and the target system respectively; determining an execution resource required by a data integration task to be generated according to the first metadata, the second metadata and a scheduling strategy, and generating the data integration task according to the execution resource and a target data integration task template.
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