Construction and Research of Big Data Platform
for Party Building in Colleges and Universities
- DOI
- 10.2991/978-94-6463-058-9_70How to use a DOI?
- Keywords
- party building in colleges and universities; big data technology; data platform construction; party building data governance in colleges and universities
- Abstract
The construction of data resources is an important part of the informatization construction of colleges and universities. The construction of a big data management service platform will provide effective support for the construction of big data application analysis scenarios in colleges and universities, including data, management, services, and technology. Taking the DAMA data management service system methodology as the theoretical basis, combined with the characteristics of college party building data, on the basis of the related technologies of the traditional college data sharing platform, the Hadoop framework system, Spark technology, Elasticsearch data engine technology and other big data technologies are deeply integrated. The idea of building a one-stop big data service platform with unified data storage, unified management, unified processing, and unified service provides a reference for the construction of a big data platform for party building in colleges and universities.
- 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 - Yi Han AU - Shuang Liu PY - 2022 DA - 2022/12/27 TI - Construction and Research of Big Data Platform BT - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022) PB - Atlantis Press SP - 431 EP - 436 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-058-9_70 DO - 10.2991/978-94-6463-058-9_70 ID - Han2022 ER -