Trajkovska, Aneta and Manevska, Violeta and Veljanovska, Kostandina (2025) Scalable ETL Processes with Change Data Capture (CDC) and Monitoring Using Apache Superset. In: 15th International Conference on Applied Internet and Information Technologies (AIIT2025), November 7, 2025, Bitola, Macedonia.
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Abstract
In an increasingly data-driven world, the ability to monitor and respond to real-time changes is critical across various domains, including marketing, transportation, and other dynamic sectors. Timely access to up-to-date information enables organizations to make informed decisions and adapt quickly to changing conditions. This paper presents a study on the implementation of a real-time data monitoring solution that leverages Change Data Capture (CDC) techniques for capturing updates across data sources. Furthermore, it explores the integration of real-time visualization tools, such as Apache Superset, to provide immediate insights and improve situational awareness. The proposed approach facilitates continuous tracking of data changes and supports decision-making processes through intuitive and dynamic dashboards. The research highlights the architectural components, key technologies, and practical benefits of deploying such systems in modern data environments.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering |
| Divisions: | Faculty of Information and Communication Technologies |
| Depositing User: | Prof. d-r. Kostandina Veljanovska |
| Date Deposited: | 09 Mar 2026 01:24 |
| Last Modified: | 09 Mar 2026 01:24 |
| URI: | https://eprints.uklo.edu.mk/id/eprint/11415 |
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