ENHANCING DATA INTEGRATION AND ANALYTICS IN ENTERPRISES THROUGH MICROSERVICES DESIGN
Keywords:
Data Integration, Microservices, Enterprise Analytics, Event-driven Architecture, API Gateway, Data Mesh, Real-time ProcessingAbstract
In the contemporary data-driven enterprise, monolithic integration architectures often struggle with scalability, resilience, and velocity. This paper examines how microservices design principles enhance data integration and analytics workflows. By decomposing integration logic into decoupled, business-aligned services, organizations can achieve real-time data propagation, fault-tolerant pipelines, and polyglot analytics. The study synthesizes literature, proposes a reference architecture, and presents graphical models for data flow and service coordination. Findings indicate that while microservices introduce operational complexity, their adoption significantly improves time-to-insight and system agility in dynamic enterprise environments.
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Copyright (c) 2026 Rafael Herrera (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
