Design and Research of Big Data Experimental Teaching Platform
Authors
Li Dai1, Jialong Liu1, *
1Teaching Affair Office, Leshan Normal University, Leshan, 614000, Sichuan, China
*Corresponding author.
Email: qingreansd84416@163.com
Corresponding Author
Jialong Liu
Available Online 12 December 2022.
- DOI
- 10.2991/978-94-6463-024-4_97How to use a DOI?
- Keywords
- Big data; Experimental teaching; Teaching platform
- Abstract
In order to meet the actual needs of big data experimental teaching in the new era, this paper explores the design of big data experimental teaching platform based on the current mainstream computer technology. Through architecture design, database design and functional module deployment, the design effect is tested. The test results show that the performance of the platform has reached the expected goal and achieved initial success. It is expected that the platform will be gradually popularized and applied in the future big data experimental teaching.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Li Dai AU - Jialong Liu PY - 2022 DA - 2022/12/12 TI - Design and Research of Big Data Experimental Teaching Platform BT - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022) PB - Atlantis Press SP - 927 EP - 936 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-024-4_97 DO - 10.2991/978-94-6463-024-4_97 ID - Dai2022 ER -