Proceedings of the 1st International Conference on Demographics and Civil-registration (INCODEC 2021)

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Big Data Modern Stack for District Government

Authors
Mutiara Auliya1, *, Abdul Aziz2, Wahyu Nurharjadmo3
1Administrative Management, Vocational School of Sebelas Maret University, Surakarta, Indonesia
2Informatics Engineering, Vocational School of Sebelas Maret University, Surakarta, Indonesia
3Department of Public Administration, Sebelas Maret University, Surakarta, Indonesia
*Corresponding author. Email: mutiaraauliya@staff.uns.ac.id
Corresponding Author
Mutiara Auliya
Available Online 10 December 2022.
DOI
10.2991/978-2-494069-53-4_12How to use a DOI?
Keywords
Big Data; Modern Stack Infrastructure; District Government
Abstract

Data is the new oil for all circles, including the district government. The more information systems are used, the more data will be collected both in structured and unstructured data, which is often called Big Data. The obstacle faced by the district government in handling Big Data is that the data is stored in different stores. Therefore the analysis process becomes complicated. For this reason, it is time for the district government to implement the Big Data Modern Stack that refers to a collection of technologies that comprise a cloud-native data platform. Big Data Modern Stack will combine cloud technology with on-premises technology in the district government system to store all the data collected in its data warehouse. This research explores how big data modern stack could be implemented for the district data system. We propose ELT (Extract, Load, Transform) using Fivetran for data ingestion from various forms of stored data, then unite all data into a data warehouse to be displayed in a Business Intelligence Tool. The paper concludes that this modern big data stack approach can unite some of the data owned by the district government so that it can be used to support the decision-making process for related stakeholders.

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 1st International Conference on Demographics and Civil-registration (INCODEC 2021)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
10 December 2022
ISBN
10.2991/978-2-494069-53-4_12
ISSN
2352-5398
DOI
10.2991/978-2-494069-53-4_12How 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  - Mutiara Auliya
AU  - Abdul Aziz
AU  - Wahyu Nurharjadmo
PY  - 2022
DA  - 2022/12/10
TI  - Big Data Modern Stack for District Government
BT  - Proceedings of the 1st International Conference on Demographics and Civil-registration (INCODEC 2021)
PB  - Atlantis Press
SP  - 103
EP  - 109
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-494069-53-4_12
DO  - 10.2991/978-2-494069-53-4_12
ID  - Auliya2022
ER  -