Theoretical Study of Enterprise Data Mesh Architecture

doi:N/A

eISSN: 2202-4859 / ISSN: None

Revenue Law Journal

2026, Volume 32, ISSUE 2 : 1-6

Research Article

Theoretical Study of Enterprise Data Mesh Architecture

Arindam Malhotra

Sophia Alvarez

Kenichi Matsuda

Department of Information Systems, Eastern Institute of Technology, Singapore

School of Data Science, University of Barcelona, Spain

Center for Digital Innovation, Kyoto Institute of Advanced Studies, Japan

Abstract

The emergence of large-scale distributed systems and the growing complexity of enterprise data ecosystems have triggered the need for innovative approaches to data management. Traditional centralized data lake and data warehouse architectures increasingly fail to meet the demand for agility, scalability, and data democratization. Data Mesh, proposed by Dehghani (2019), introduces a decentralized socio-technical paradigm where domain-driven ownership, self-serve data platforms, and federated governance shape modern enterprise data strategies. This paper presents a comprehensive theoretical study of Enterprise Data Mesh Architecture, exploring its conceptual foundations, structural components, operational principles, methodological implications, and organizational challenges. The study concludes with future research directions and recommendations for enterprises transitioning toward Data Mesh adoption.

Keywords

Organizational

Architecture

Scalability

Democratization

Dehghani

License

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