MICROSERVICES ORIENTED DATA GOVERNANCE AND COMPLIANCE IN LARGE SCALE ENTERPRISE ECOSYSTEMS
Keywords:
Microservices, Data Governance, Compliance, Large Scale Enterprises, Policy-as-Code, Data Lineage, GDPR, Federated Governance, Zero-Trust, Metadata ManagementAbstract
The adoption of microservices architectures in large-scale enterprise ecosystems has introduced significant challenges for data governance and compliance. Unlike monolithic systems, where data lineage, quality, and security policies can be centrally enforced, microservices promote data decentralization, polyglot persistence, and domain-driven design. This fragmentation complicates adherence to regulations such as GDPR, CCPA, and HIPAA. This paper examines a microservices-oriented governance framework tailored for enterprises. It synthesizes literature from to establish foundational challenges, then proposes a federated governance model incorporating metadata sidecars, policy-as-code, and automated compliance verification. The findings indicate that while traditional governance fails in distributed systems, adopting zero-trust data principles and immutable policy registries can restore compliance without sacrificing agility.
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*(Note: Additional references below continue the pre-2023 theme)*
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Copyright (c) 2023 Kawabata Matsumoto (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
