Manuscript Number : SHISRRJ1818940

Advances in Data Lineage, Auditing, and Governance in Distributed Cloud Data Ecosystems

Authors(3) :-Bamidele Samuel Adelusi, Favour Uche Ojika, Abel Chukwuemeke Uzoka

As enterprises increasingly adopt distributed cloud architectures, the complexity of ensuring data lineage, auditing, and governance has grown exponentially. This systematic review explores recent advances in methodologies, frameworks, and technologies developed to manage trust, transparency, and compliance in multi-cloud and hybrid-cloud data ecosystems. By synthesizing peer-reviewed literature, whitepapers, and technical case studies from 2015 to 2024, we examine how organizations are evolving their governance strategies to meet the demands of distributed environments. Our analysis identifies major shifts toward automated data lineage tools, real-time auditing mechanisms, and policy-driven governance models that prioritize security, accountability, and regulatory compliance. Modern advancements include the integration of metadata management systems, graph-based lineage visualization, and machine learning-driven anomaly detection in auditing processes. Moreover, the adoption of decentralized data governance frameworks, such as Data Mesh, is empowering domain-specific stewardship without compromising overarching enterprise control. Despite these advances, challenges persist, particularly in achieving full lineage visibility across disparate platforms, ensuring consistent policy enforcement, and managing the volume and velocity of metadata generation. Interoperability limitations between cloud vendors and evolving regulatory landscapes further complicate governance efforts. This review highlights innovative solutions, such as unified governance platforms, blockchain-based audit trails, and AI-assisted lineage inference engines that are redefining how organizations establish end-to-end data trust. Future research should focus on standardizing lineage protocols across cloud ecosystems, developing real-time compliance verification tools, and embedding governance-by-design into cloud-native application development. In conclusion, mastering data lineage, auditing, and governance is essential for organizations seeking to maximize the strategic value of distributed data while minimizing risk. As data ecosystems grow in complexity and scale, these disciplines will increasingly form the backbone of resilient, ethical, and compliant digital enterprises.

Authors and Affiliations

Bamidele Samuel Adelusi
Independent Researcher, Texas, USA
Favour Uche Ojika
Independent Researcher, Minnesota, USA
Abel Chukwuemeke Uzoka
Kennesaw State University, Kennesaw, Georgia, USA

Data Lineage, Cloud Data Governance, Distributed Cloud Ecosystems, Real-Time Auditing, Metadata Management, Data Mesh, Compliance Management, Blockchain Audit Trails, Data Trust, Cloud Security.

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Publication Details

Published in : Volume 5 | Issue 4 | July-August 2022
Date of Publication : 2022-07-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 245-273
Manuscript Number : SHISRRJ1818940
Publisher : Shauryam Research Institute

ISSN : 2581-6306

Cite This Article :

Bamidele Samuel Adelusi, Favour Uche Ojika, Abel Chukwuemeke Uzoka, "Advances in Data Lineage, Auditing, and Governance in Distributed Cloud Data Ecosystems", Shodhshauryam, International Scientific Refereed Research Journal (SHISRRJ), ISSN : 2581-6306, Volume 5, Issue 4, pp.245-273, July-August.2022
URL : https://shisrrj.com/SHISRRJ1818940

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