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Proceedings of the 4th International Conference on Education, Knowledge and Information Management, ICEKIM 2023, May 26–28, 2023, Nanjing, China

Research Article

Research on the Construction of the "Hive Big Data Warehouse" Experimental Teaching Environment

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  • @INPROCEEDINGS{10.4108/eai.26-5-2023.2337303,
        author={Huatao  Zhou and Yuan  Yao and Fang  Tu},
        title={Research on the Construction of the "Hive Big Data Warehouse" Experimental Teaching Environment},
        proceedings={Proceedings of the 4th International Conference on Education, Knowledge and Information Management, ICEKIM 2023, May 26--28, 2023, Nanjing, China},
        publisher={EAI},
        proceedings_a={ICEKIM},
        year={2023},
        month={9},
        keywords={experimental teaching; big data; data warehouse; hadoop; hive},
        doi={10.4108/eai.26-5-2023.2337303}
    }
    
  • Huatao Zhou
    Yuan Yao
    Fang Tu
    Year: 2023
    Research on the Construction of the "Hive Big Data Warehouse" Experimental Teaching Environment
    ICEKIM
    EAI
    DOI: 10.4108/eai.26-5-2023.2337303
Huatao Zhou1, Yuan Yao1, Fang Tu1,*
  • 1: Wuchang Institute of Technology
*Contact email: 382935224@qq.com

Abstract

The construction of experimental teaching environment for Hive course in big data warehouse was studied. Taking into account the limitations of existing traditional computer rooms and current technical conditions, it is proposed to install Linux system and Hadoop high availability cluster in a VMware virtual machine software environ-ment. Then, a big data warehouse Hive is installed on the Hadoop high availability cluster platform, and a construction plan for a big data warehouse Hive experimental teaching environment based on Hadoop+Hive is implemented. The experimental en-vironment of the Big Data Warehouse Hive course helps to improve the theoretical teaching effect of the Big Data Warehouse Hive course, and helps students better master the data warehouse tool Hive for data analysis and data mining from practice, achieving the goal of cultivating applied and innovative talents.

Keywords
experimental teaching; big data; data warehouse; hadoop; hive
Published
2023-09-13
Publisher
EAI
http://dx.doi.org/10.4108/eai.26-5-2023.2337303
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