Proceedings of the 3rd International Conference on Internet Technology and Educational Informatization, ITEI 2023, November 24–26, 2023, Zhengzhou, China

Research Article

Design and Implementation of Big Data Platform for University Education Management Based on Hadoop

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  • @INPROCEEDINGS{10.4108/eai.24-11-2023.2343571,
        author={Shuang  He and Lu  Zhang},
        title={Design and Implementation of Big Data Platform for University Education Management Based on Hadoop},
        proceedings={Proceedings of the 3rd International Conference on Internet Technology and Educational Informatization, ITEI 2023, November 24--26, 2023, Zhengzhou, China},
        publisher={EAI},
        proceedings_a={ITEI},
        year={2024},
        month={4},
        keywords={big data platform; education management; hadoop},
        doi={10.4108/eai.24-11-2023.2343571}
    }
    
  • Shuang He
    Lu Zhang
    Year: 2024
    Design and Implementation of Big Data Platform for University Education Management Based on Hadoop
    ITEI
    EAI
    DOI: 10.4108/eai.24-11-2023.2343571
Shuang He1, Lu Zhang1,*
  • 1: Chongqing College of Architecture and Technology
*Contact email: 342995217@qq.com

Abstract

With the expansion of university sizes, traditional educational management methods are encountering issues such as difficulties in data integration and analytical decision-making. To address these challenges, this study designs and implements a big data analysis platform for university education management based on Hadoop. Initially, the paper examines the current status of university management and investigates relevant technological solutions. Subsequently, it details the platform architecture and utilizes tools within the Hadoop ecosystem to realize core modules, including data collection, data warehousing, and multidimensional analysis. Through rigorous functional and stress testing, the paper verifies the design's accuracy and scalability. The research outcomes offer an intelligent and expandable big data platform for university educational management. The content of the paper is meticulous, bearing significant importance in advancing data-driven intelligent education management.