Optimizing enterprise data flows: An event-driven architecture for workday integration

Gadde, Srikanth (2025) Optimizing enterprise data flows: An event-driven architecture for workday integration. World Journal of Advanced Research and Reviews, 26 (1). pp. 1668-1677. ISSN 2581-9615

[thumbnail of WJARR-2025-1116.pdf] Article PDF
WJARR-2025-1116.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial Share Alike.

Download ( 502kB)

Abstract

This article presents a novel approach to enterprise data synchronization between Workday and downstream applications through an event-driven architecture. The proposed framework addresses the challenges of redundant integration development and escalating technology costs faced by organizations implementing Workday. By developing a connector that captures field and event-level changes through scheduled extraction and an intermediary event framework for distribution, the solution minimizes duplicate integration efforts while maintaining data integrity across temporal boundaries. The architecture incorporates robust access control mechanisms, standardized data structures, and flexible subscription models to accommodate varied downstream requirements. Performance optimization strategies and error handling protocols ensure system reliability, while the implementation methodology supports the seamless addition of new field requirements and event types. Case studies demonstrate significant reductions in integration development efforts and enhanced developer productivity across diverse enterprise environments, contributing valuable insights to the field of enterprise system integration.

Item Type: Article
Official URL: https://doi.org/10.30574/wjarr.2025.26.1.1116
Uncontrolled Keywords: Event-Driven Architecture; Workday Integration; Enterprise Data Synchronization; Data Classification Governance; Scalable Integration Framework
Depositing User: Editor WJARR
Date Deposited: 25 Jul 2025 14:56
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/1862