Re-engineering Enterprise Systems through Data-Centric Architectures
Keywords:
Data-Centric Architecture, Data Mesh, Data Fabric, Zero Trust, Enterprise Systems, Federated Governance, API Interoperability, DevSecOpsAbstract
The increasing complexity of enterprise information environments has been increasing the pressure to radically re-engineer the way in which organizations design, govern and operate their data infrastructure. The conventional system design that only considers data as a product of the application logic is becoming less and less able to address the needs of scalability, interoperability, and security of the contemporary digital companies. This paper discusses the paradigm shift in data-centric architectures, including the underlying concepts of data mesh, data fabric, and federated data governance, as well as application in a business and government setting. The analysis is based on the latest research on the topic and official governmental editions to assess the architecture trends, security systems, and modernization policies. Special focus is placed on the concept of Zero Trust data security models, API-based interoperability, the concept of DevSecOps integration, and alignment of enterprise architecture. To help in the analysis, the paper has four comparative tables and six illustrative figures that are given at different points of the text. The results show that the organizations that embrace the principles of data centrism can attain quantifiable improvements in the quality of data, agility in operations, and cyber resiliency. A framework of phased enterprise re-engineering and future research directions are given at the end of the paper.
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