Advances in Data Migration Tools for Cloud Billing Systems

Authors

  • Ravi Mani Cognizant Technology Solutions, USA Author

DOI:

https://doi.org/10.32628/CSEIT251112117

Keywords:

Cloud Billing Migration, AI-Powered ETL Pipelines, Metadata-Driven Frameworks, Automated Data Validation, Blockchain Data Integrity

Abstract

This article examines advancements in data migration tools for cloud billing systems. It highlights their impact on industries like healthcare, insurance, and telecommunications. It examines the key challenges faced during the migration of legacy billing systems to cloud platforms, including ensuring data accuracy, maintaining regulatory compliance, and minimizing operational downtime. The article delves into innovative solutions such as AI-powered ETL pipelines, automated data validation techniques, and metadata-driven frameworks, highlighting their features and benefits. Through case studies in healthcare and telecommunications, the article demonstrates the practical applications and outcomes of these advanced tools. Emerging trends like hybrid cloud migration, real-time data synchronization, blockchain for data integrity, and no-code/low-code platforms are discussed, offering insights into the future direction of billing system migrations. The article also addresses persistent challenges in data complexity, system downtime, and regulatory compliance, proposing strategic solutions. Finally, it explores future directions, including predictive analytics for risk identification, deeper integration of blockchain technology, and the potential of serverless architectures in data migration. This comprehensive article overview provides valuable insights for organizations planning or undertaking cloud billing system migrations, emphasizing the importance of adopting cutting-edge tools and strategies to ensure successful transitions in an increasingly digital landscape.

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References

Cloud Standards Customer Council. "Impact of Cloud Computing on Healthcare." 2017. [Online] Available: https://www.omg.org/cloud/deliverables/CSCC-Impact-of-Cloud-Computing-on-Healthcare.pdf

Gartner. "Strategic Roadmap for Migrating Data Management Solutions to the Cloud" 2023. [Online] Available: https://www.gartner.com/en/documents/4787731

Bloor Research. "Data Migration in the Global 2011." 2022. [Online] Available: https://www.bloorresearch.com/research/data-migration-report-2011/

GII. "Worldwide Data Integration and Intelligence Software Forecast, 2023–2027." 2023. [Online] Available: https://www.giiresearch.com/report/id1279967-worldwide-data-integration-intelligence-software.html

Forrester Research. "The Total Economic Impact™ Of AWS Modern Data Strategy " 2023. [Online] Available: https://d1.awsstatic.com/aws-analytics-content/TEI-AWS-Modern-Data-Strategy-080923_FINAL.pdf

HIMSS. "AI in healthcare" 2023. [Online] Available: https://www.himss.org/resources/ai-in-healthcare/

TM Forum. "Digital Transformation Tracker 5: The evolving landscape of digital transformation in the telecom industry." 2024. [Online] Available: https://inform.tmforum.org/research-and-analysis/reports/digital-transformation-tracker-5-have-telecoms-priorities-changed

Cloud Security Alliance. "State of Cloud Security Concerns, Challenges, and Incidents Survey." 2023. [Online] Available: https://cloudsecurityalliance.org/artifacts/state-of-cloud-security-concerns-challenges-and-incidents

Gartner. "Gartner Says Four Trends Are Shaping the Future of Cloud, Data Center and Edge Infrastructure" 2023. [Online] Available: https://www.gartner.com/en/newsroom/press-releases/2023-05-16-gartner-says-4-trends-are-shaping-the-future-of-cloud-data-center-and-edge-infrastructure

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Published

26-01-2025

Issue

Section

Research Articles

How to Cite

Advances in Data Migration Tools for Cloud Billing Systems. (2025). International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 11(1), 1130-1139. https://doi.org/10.32628/CSEIT251112117