Interoperability: Efficient Integration of Power BI, CentOS, and Android with RemoDB for Business Intelligence
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Abstract
Interoperability is a key challenge in the integration of heterogeneous enterprise systems. This study addresses the efficient implementation of Power BI, CentOS and Android with RemoDB to improve business processes. An integration model based on RESTful architectures and real-time communication is proposed, optimizing data processing and analysis. The research explores connectivity and synchronization methods between Android devices, CentOS servers and Power BI, ensuring secure and efficient data transfer. Strategies to reduce data query latency by optimizing NoSQL databases in RemoDB and configuring high-performance APIs are analyzed. The results show improvements in dynamic data visualization, allowing companies to make real-time decisions based on key metrics. In addition, the compatibility of the tools is validated through performance and scalability testing in enterprise environments. This study extends previous research on platform integration for business intelligence, highlighting the efficiency of RemoDB over traditional solutions. The findings underscore the importance of flexible and scalable architectures in data analytics environments. With this proposal, we contribute to the optimization of business processes through the interoperability of multiple technology platforms.
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Luis Rene Quisaguano-Collaguazo , Universidad Técnica de Cotopaxi - Ecuador
https://orcid.org/0000-0003-1345-0898
Computer Science and Computer Systems Engineer, Master in Information Systems from the Technical University of Cotopaxi. Professor of the Information Systems career at the Faculty of Engineering and Applied Sciences. Investigates topics related to the modeling of information systems through Software Development in web, mobile, hybrid and Business Intelligence environments.
Gladys Esquivel, Universidad Técnica de Cotopaxi - Ecuador
https://orcid.org/0000-0002-2692-2412
Computer Science and Computer Systems Engineer from the Technical University of Cotopaxi, Master in Information Systems from the State University of Milagro. Professor of the Information Systems career at the Faculty of Engineering and Applied Sciences of the UTC La Mana extension. Investigates topics related to the modeling of information systems through Software Development in web, mobile, hybrid and Business Intelligence environments.
Andres Josue Chicaiza-Aguayo , Universidad Técnica de Cotopaxi - Ecuador
https://orcid.org/0009-0009-7315-6202
I have a strong background in academic research, having successfully completed several projects. I excel in effectively applying scientific methodologies and am committed to continuous learning. Throughout my experience, I have tackled important topics in my research, contributing to the advancement of knowledge in my field of study and demonstrating a solid commitment to academic development.
Santiago Javier Llambo-Alvarez , Universidad Técnica de Cotopaxi - Ecuador
https://orcid.org/0009-0008-7505-1407
I have a solid foundation in academic research, resulting in the successful completion of several projects. I stand out for my ability to help people without expecting anything in return. Throughout my career, I have addressed relevant topics in my research, contributing to the advancement of knowledge in my field of study and demonstrating a firm commitment to academic development and ultimately obtaining new knowledge in areas of which I had no knowledge.
References
Android. (2022). Android. Obtenido de Android: https://www.android.com/intl/es_es/
Bryman, A. (2016). Social Research Methods. Oxford University Press.
Cajas, C. L. (agosto de 2022). Estudio comparativo de herramientas de inteligencia de negocios y prestaciones . Obtenido de Repositorio Institucional de la Universidad Politécnica Salesiana: http://dspace.ups.edu.ec/handle/123456789/23846
CentOS. (12 de enero de 2025). CentOS. Obtenido de CentOS: https://www.centos.org/
Chen, H., Mao, S., & Liu, Y. (2014). Big Data: A Survey. Mobile Networks and Applications, 19(2), 171-209.
Fernández, R., Gutiérrez, M., & Herrera, L. (2018). Sistemas de inteligencia de negocios: Un análisis de interoperabilidad en entornos empresariales. Editorial Científica.
Fernández-Pérez, K. (junio de 2018). Sistema de Inteligencia de Negocios para el análisis de la publicidad en entornos digitales. Obtenido de http://hdl.handle.net/10609/82747: http://hdl.handle.net/10609/82747
Fielding, R. T. (2000). Architectural Styles and the Design of Network-based Software Architectures (Doctoral dissertation, University of California, Irvine).
Gómez, A., Torres, C., & Ramírez, P. (2021). Plataformas tecnológicas y su impacto en la toma de decisiones empresariales. Revista de Tecnología y Negocios, 14(2), 45-60.
Hohpe, G., & Woolf, B. (2004). Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions. Addison-Wesley.
Johnson, T. (2019). RESTful Architectures for Business Intelligence Systems. TechPress.
Kreps, J. (2014). Questioning the Lambda Architecture. O'Reilly Media.
Leskovec, J., Rajaraman, A., & Ullman, J. D. (2020). Mining of Massive Datasets. Cambridge University Press.
Liu, X., & Wang, Y. (2022). Enterprise Integration Strategies for Data-Driven Decision Making. Data Science Journal, 27(1), 112-130.
Martínez, J., & Pérez, L. (2020). Optimización de bases de datos NoSQL en sistemas empresariales. Informática Aplicada, 22(3), 98-115.
Microsoft. (2021). Power BI Documentation. Retrieved from https://docs.microsoft.com/en-us/power-bi/
Newman, S. (2015). Building Microservices: Designing Fine-Grained Systems. O'Reilly Media.
Patton, M. Q. (2015). Qualitative Research & Evaluation Methods. Sage Publications.
Rodríguez, F., & Castro, D. (2023). Tendencias en la integración de plataformas para análisis de datos en tiempo real. Innovación y Tecnología Empresarial, 19(4), 78-95.
Stonebraker, M. (2015). The Case for NewSQL. Communications of the ACM, 64(12), 12-14.
Torres, C. B., & Sagbay, Z. S. (marzo de 2024). La inteligencia de negocios y la toma de decisiones gerenciales en las empresas comerciales de la ciudad de Machala. Obtenido de Repositorio Digital de la UTMACH: http://repositorio.utmachala.edu.ec/handle/48000/22509