PENERAPAN DATA LINEAGE UNTUK MEMINIMALISIR KESALAHAN PROSES ETL DARI BASIS-DATA SUMBER KE BASIS-DATA TARGET

Muhammad Firdaus

Abstract


In an era of expanding information technology, data needs become very basic and important to keep in legitimacy. Moreover, many demands from the company so that the data collected and received from database source must be kept in authenticity. Data lineage implementation allows to prevent from inevitable error of ETL (Extract-Transform-Load) process from database source into target, or it can be utilized as an audit trail. In this study tried to assess its utilization using experimental and quantitative methods, where data will be collected and simulate using special software, as well as further observation of its testing results, and seeking its relevance from references. With this research, hopefully will be able to provide the best solution and can find the root cause that often occur in the source due to inconsistent data that can be, so that one day it can be used as a lesson learned from result of analysis.

Keyword: data lineage, database, source, target.

Full Text:

PDF

References


Prasetyo, B., & Trisyanti, U. (2018). Revolusi Industri 4.0 Dan Tantangan Perubahan Sosial. IPTEK Journal of Proceedings Series, 0(5), 22–27. https://doi.org/10.12962/j23546026.y2018i5.4417

Prasetyo, H., & Sutopo, W. (2018). INDUSTRI 4.0: TELAAH KLASIFIKASI ASPEK DAN ARAH PEREMBANGAN RISET. Jurnal Teknik Industri, 13(4), 372. https://doi.org/10.2307/1782970

Subli, M., Sugiantoro, B., & Prayudi, Y. (2017). METADATA FORENSIK UNTUK MENDUKUNG PROSES INVESTIGASI DIGITAL. Data Manajemen Dan Teknologi Informasi (DASI), 18(1), 44–50. Retrieved from http://www.ghbook.ir/index.php?name=فرهنگ و رسانه های نوین&option=com_dbook&task=readonline&book_id=13650&page=73&chkhashk=ED9C9491B4&Itemid=218〈=fa&tmpl=component

Supriyatna, A. (2016). Sistem Analisis Data Mahasiswa Menggunakan Aplikasi Online Analytical Processing (Olap) Data Warehouse. None, 12(1), 62–71.

Sweet, E. (2016). Data Lineage and Compliance. ISACA, 5, 1–4.




DOI: https://doi.org/10.30998/simponi.v1i1.545

Refbacks

  • There are currently no refbacks.


 Institute for Research and Community Services
(LPPM) Universitas Indraprasta PGRI

Address: Kampus A Building 3, 2nd Floor | Jl. Nangka No. 58 C (TB. Simatupang), Kel. Tanjung Barat, Kec. Jagakarsa, Jakarta Selatan 12530, Jakarta, Indonesia.
Phone: +62 (021) 7818718 – 78835283 | Close in sunday and public holidays in Indonesia
Work Hours: 09.00 AM – 08.00 PM
Best hours to visit: From 9 am to 11 am or after 3 pm. The busiest times are between 11 am and 3 pm.


 Creative Commons License
Simposium Nasional dan Call for Paper Unindra is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.



View My Stats