Abstract

This study examines the use of data mesh in regulated businesses between 2019 and 2025, taking into account scholarly and professional sources. The state-of-the-art findings about domain-led, decentralized data environments, including federated governance and implementation techniques from rigorous industries including healthcare, finance, and telecommunications, are combined in this study. Fifteen peer-reviewed papers and their referenced sources are discussed. It emphasizes how difficult it is for regulated firms to connect governance with automated compliance and implement organizational changes because of the scalability and operational advantages that data mesh promises. Four architectural patterns—pure, semi-pure, hybrid, and distributed implementations—that are typical in regulated situations that are highlighted in the literature. In controlled settings, each pattern has pros and cons. In this regard, a number of shortcomings are found, including sector-specific approaches to regulatory compliance, management of interorganizational data sharing, and automation of procedures for compliance verification. In conclusion, a deliberate trade-off between strong center-led governance and domain autonomy, backed by cutting-edge technologies and related organizational reforms, is necessary for successful adoption.

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