Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)

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Research on Big Data Service of Shandong Government Based on Data Warehouse Technology

Authors
Wang Li1, Zhengqian Feng1, Zhongwei Chen1, *, Xikai Ding1, Ning Dang1
1SHANDONG SCICOM Information and Economy Research Institute Co., Ltd., Keyuan Street, Jinan, China
*Corresponding author. Email: chenzhw@sdas.org
Corresponding Author
Zhongwei Chen
Available Online 12 December 2022.
DOI
10.2991/978-94-6463-024-4_126How to use a DOI?
Keywords
Digital government; Big data service; Data warehouse technology; Hadoop
Abstract

In the era of big data, data has penetrated into every aspect of economy, society and life, exerting a profound influence on economic development mode and social governance mode [1]. Through field investigation, literature analysis, quantitative and qualitative analysis and comparison, comprehensive analysis and other research methods, this study analyzes the problems and deficiencies of existing big data service in Shandong Province. By mining the essential factors of data layer and external characteristic factors of application layer that affect big data service, the big data service management model was built around three aspects of government service, public support and comprehensive guarantee. Through data warehouse technology and the distributed computing and storage framework of Hadoop, the government big data processing support service system was established with data analysis application requirements as the guidance. By analyzing the influence mechanism of big data service, the decision-making suggestions of big data service in Shandong province were put forward. This can further optimize big data service and achieve high-quality economic and social development.

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.

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Volume Title
Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
12 December 2022
ISBN
10.2991/978-94-6463-024-4_126
ISSN
2589-4900
DOI
10.2991/978-94-6463-024-4_126How to use a DOI?
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

risenwbib
TY  - CONF
AU  - Wang Li
AU  - Zhengqian Feng
AU  - Zhongwei Chen
AU  - Xikai Ding
AU  - Ning Dang
PY  - 2022
DA  - 2022/12/12
TI  - Research on Big Data Service of Shandong Government Based on Data Warehouse Technology
BT  - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)
PB  - Atlantis Press
SP  - 1224
EP  - 1233
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-024-4_126
DO  - 10.2991/978-94-6463-024-4_126
ID  - Li2022
ER  -