Analisis Arsitektur Data dalam Database Perusahaan E-Commerce: Studi Kasus Shopee
DOI:
https://doi.org/10.61722/jaem.v2i2.5112Keywords:
Data architecture, database, e-commerce, Shopee, big data, microservicesAbstract
The development of information technology has driven the rapid growth of the e-commerce industry. In a digital business environment like Shopee, efficient data management and architecture are key to supporting scalability, transaction speed, and data-based decision making. This study aims to analyze the data architecture used in the Shopee e-commerce platform, including the storage structure, data integration, and processing systems used. This research method is qualitative with a literature study approach and case study analysis based on technical publications and trusted sources. The results show that Shopee adopts a cloud-based distributed data architecture with the use of big data and microservices technology to support operational and analytical needs. The conclusion of this study emphasizes the importance of importance, scalability, and security in data architecture design for modern e-commerce companies.
References
Alamsyah, A. (2020). Strategi Arsitektur Data untuk Perusahaan Digital. Jakarta: Penerbit Informatika.
Berman, J. J. (2018). Principles of Big Data: Preparing, Sharing, and Analyzing Complex Information. Cambridge, MA: Morgan Kaufmann.
Firmansyah, R. (2021). Analisis big data dalam mendukung transformasi digital e-commerce di Indonesia. Jurnal Teknologi dan Sistem Informasi, 9(2), 101–109.
Ghosh, D., Banerjee, A., & Kim, J. (2021). Designing scalable architectures for e-commerce platforms: A case study. Journal of Systems and Software Engineering, 34(1), 21–32.
Gunawan, H., & Setiawan, D. (2019). Pemanfaatan arsitektur microservices dalam pengembangan sistem e-commerce. Jurnal Sistem Informasi, 15(1), 45–55.
Halevy, A., Korn, F., Noy, N., Olston, C., Polyzotis, N., Roy, S., & Whang, S. E. (2016). Managing Google-scale data: From infrastructure to insights. Communications of the ACM, 59(7), 72–81.
Hendrawan, A., & Suryadi, I. (2020). Desain sistem manajemen data terdistribusi untuk layanan digital. Jurnal Ilmu Komputer dan Teknologi Informasi, 13(3), 123–130.
Kleppmann, M. (2017). Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Sebastopol, CA: O’Reilly Media.
Kurniawan, T. (2018). Manajemen Data Modern untuk E-Bisnis. Yogyakarta: Deepublish.
Lubis, M. F., & Ramadhan, A. (2021). Studi kasus arsitektur data Shopee pada era big data. Jurnal Teknologi Informasi dan Komunikasi, 4(2), 67–75.
Prawira, B. (2022). Peran cloud computing dalam efisiensi sistem e-commerce di Asia Tenggara. Jurnal Teknik Informatika, 10(1), 33–41.
Putri, R. A., & Hidayat, M. A. (2019). Arsitektur sistem informasi terintegrasi pada platform dagang-el. Jurnal Sistem Informasi dan Rekayasa Perangkat Lunak, 5(2), 89–97.
Santosa, Y. (2021). Pemrograman Layanan Microservices Berbasis Cloud. Bandung: Andi Publisher.
Stonebraker, M., & Çetintemel, U. (2005). One size fits all: An idea whose time has come and gone. Proceedings of the 21st International Conference on Data Engineering, 2–11.
Wicaksono, F. (2020). Penerapan pemrosesan data real-time di e-commerce Indonesia. Jurnal Informatika dan Sistem Komputer Indonesia, 8(3), 111–118.
Zaharia, M., Chowdhury, M., Franklin, M. J., Shenker, S., & Stoica, I. (2012). Spark: Cluster computing with working sets. Proceedings of the 2nd USENIX Conference on Hot Topics in Cloud Computing, 10(3), 1–7.
Zhang, Y., & Wang, L. (2019). Evaluating microservices-based architecture for large-scale e-commerce systems. International Journal of Computer Applications, 182(30), 1–7.
Zikopoulos, P., Eaton, C., deRoos, D., Detusch, T., & Lapis, G. (2012). Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data. New York: McGraw-Hill.
