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Preschool Teacher Education System Based on Remote Network System
Author(s) -
Meng Xu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1648/4/042098
Subject(s) - computer science , database , big data , relational database , database design , resource (disambiguation) , computer data storage , unified modeling language , world wide web , multimedia , operating system , software , computer network
How to achieve effective communication between school parents on online platforms, online office work on campus, and storage and sharing of massive learning resources will surely become important issues facing early childhood education. The purpose of this article is to design a kindergarten teacher education system based on the remote network system. This paper uses the increasingly perfect non-relational database technology to help store massive big data resources, and uses its characteristics to improve the access and operation speed of big data resources, which will effectively solve campus information management and improve the processing efficiency of resource storage and access. Develop a comprehensive platform for online office, communication, learning, and resource sharing for early childhood education. Research In order to realize the storage of massive data and the rapid operation of the system, the system database chose a complementary method of combining MySQL database and MongoDB database, using MySQL to store data involving operations such as relational lookup, and using MongoDB to store various file and photo resources. The system is developed using the SSH framework. First, the functional and non-functional requirements of the system are analyzed. The functional requirements use UML to establish the overall use case diagram of the foreground and background modules respectively. Through the complementary technology of MySQL and MongoDB, the storage and access efficiency of big data and the operating speed of the system’s functional modules are greatly improved.

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