Ensuring Data Traceability Across Multiple Cloud Environments

Year : 2025 | Volume : 03 | Issue : 01 | Page : 08 22
    By

    Anil Kumar Bayya,

  1. Full Stack Developer, Department of Testworx, Chicago, Cook County, United States of America

Abstract

This study investigates the challenges and solutions for ensuring data traceability across multiple cloud environments. With organizations’ increasing reliance on cloud infrastructure, maintaining data traceability is crucial for compliance, data integrity, and secure data management. The diversity of cloud systems, spanning public, private, and hybrid models, introduces complexities in tracking data lineage, access, and movement. This study delves into multi-cloud strategies’ technical and operational hurdles, such as varying data formats, regulatory discrepancies, and interoperability issues. We examine frameworks, technologies, and best practices for achieving seamless traceability of data. These include leveraging advanced monitoring tools, implementing blockchain technology for immutable audit trails, and using artificial intelligence (AI)-driven solutions for real-time data tracking. Additionally, security protocols and encryption mechanisms are analyzed to ensure traceability does not compromise data confidentiality. Case studies illustrate successful implementations of traceability strategies across industries such as healthcare, finance, and retail, highlighting the importance of aligning technical solutions with organizational goals. Lessons learned from real-world scenarios emphasize the value of integrating traceability as a core feature in cloud migration and data governance plans. The study also explores emerging trends, such as the role of privacy-preserving technologies like differential privacy and federated learning, in balancing traceability with user confidentiality. By adopting a proactive approach to data traceability, organizations can enhance their regulatory compliance, mitigate data breaches, and foster greater trust among stakeholders. The findings provide actionable insights for enterprises seeking to modernize their data management strategies in a multi-cloud world.

Keywords: Data traceability, hybrid cloud environments, data management, blockchain, AI-driven tools, encryption, cloud migration

[This article belongs to International Journal of Data Structure Studies ]

How to cite this article:
Anil Kumar Bayya. Ensuring Data Traceability Across Multiple Cloud Environments. International Journal of Data Structure Studies. 2025; 03(01):08-22.
How to cite this URL:
Anil Kumar Bayya. Ensuring Data Traceability Across Multiple Cloud Environments. International Journal of Data Structure Studies. 2025; 03(01):08-22. Available from: https://journals.stmjournals.com/ijdss/article=2025/view=195639


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Regular Issue Subscription Review Article
Volume 03
Issue 01
Received 24/12/2024
Accepted 31/12/2024
Published 28/01/2025
Publication Time 35 Days
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