Design of Intelligent Processing Platform for University Teaching Data Based on Big Data
In order to achieve effective separation of data and business,ensure the accuracy of data information recognition results,and meet the needs of users to quickly read and call data,this paper applies big data technology to design a new and advanced intelligent processing platform for university teaching data.Firstly,based on the system functional requirements,the overall system design is completed from three aspects:System design philosophy,system architecture design,and system database design.Secondly,modules such as user login,ETL management,data intelligent processing,and data feature recognition were designed to ensure the effectiveness of system functionality implementation.The results indicate that under the application background of big data technology,the system has the characteristics of simple operation,safety and reliability,easy maintenance,and easy expansion,fully meeting the needs of teaching data processing in universities and achieving the expected design goals.
big datauniversity teachingdata intelligent processing platform
NETL
NSTL
万方数据
