An API-Driven Master Data Management Framework for Distributed Enterprise Application Integration
DOI:
https://doi.org/10.63282/3050-922X.IJERET-V3I2P116Keywords:
Master Data Management (MDM), Distributed Systems, Data Governance, Microservices, Restful Apis, Data ConsistencyAbstract
Enterprises are becoming more dependent on distributed applications, cloud-based solutions, and heterogeneous data sources in the age of digital transformation, making it extremely difficult to provide consistent and reliable master data. The given paper suggests a Master Data Management (MDM), an API-based framework that is suggested to facilitate the smooth integration, governance, and real-time synchronization of master data across decentralized systems. The framework follows an API-first framework and is based on the ideas of RESTful services, microservices architecture, and event-driven communication allowing it to be scalable, flexible, and interoperable. The given architecture will be divided into several layers, such as an API Gateway with secure and controlled entry, a Master Data Services layer with business logic and validation, Data Integration layer to synchronize and process events, and Metadata and Governance layer to maintain the quality and compliance of data. The framework eliminates complexity of integration between core enterprise applications and data management, as well as drives system agility. The experimental analysis shows that it is highly better than the traditional ETL-based systems and has less latency, improved throughput, and better data consistency. The findings point to the fact that the framework can reduce data synchronization latency by as much as 70% and allow large-scale operations with the minimum error rate. Moreover, it allows propagating data in real-time and enhances the ability to make decisions. Overall, the proposed API-driven MDM framework provides a scalable, secure, and future-ready solution for managing master data in modern distributed enterprise environments.
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