Techniques for data integration and management using MuleSoft for enterprise services
Keywords:
MuleSoft, data integration, enterprise services, Anypoint Platform, simulation research, statistical analysis, Author Name, Scopus, Springer, Journal Name, Wissira, Journal Short Form, Wissira Press, Wissira Research Lab, Research Gate, SSRN, ISSN, Academia, UGC Care, PubMed, WOSAbstract
In today’s digital landscape, enterprises are inundated with vast amounts of data sourced from heterogeneous systems. Efficient data integration and management have become paramount to harnessing actionable insights. This manuscript explores the techniques for data integration and management using MuleSoft—a leading integration platform for connecting applications, data, and devices. The paper examines the evolution of integration approaches, the architectural components of MuleSoft’s Anypoint Platform, and best practices in deploying integration solutions. A mixedmethod research design combining qualitative analysis and simulation research is employed. Statistical analysis on simulated integration performance data provides insights into response times, throughput, and success rates. The findings underscore MuleSoft’s efficacy in addressing data integration challenges in enterprise environments while identifying key performance parameters essential for successful deployment. The study concludes with recommendations for organizations aiming to enhance their integration capabilities through MuleSoft’s ecosystem.
