Data Archiving and Retrieval in High-Volume Telecommunications Workflows

Authors: Mahesh Mokale

DOI: https://doi.org/10.5281/zenodo.14880860

Short DOI: https://doi.org/g8493z

Country: USA

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Abstract: In the rapidly evolving telecommunications industry, the exponential growth of data presents significant challenges in storage, archiving, and retrieval. Telecommunications workflows generate vast amounts of data daily, including call detail records, network logs, customer interactions, and billing transactions. Managing this data efficiently is crucial for compliance with regulatory frameworks such as the Federal Communications Commission (FCC) and General Data Protection Regulation (GDPR), ensuring operational efficiency, and maintaining cost-effectiveness. This white paper explores various archiving and retrieval strategies employed in high-volume telecommunications environments, focusing on solutions that were prevalent before 2019. It provides an in-depth analysis of storage architectures, data indexing methodologies, query optimization techniques, and security considerations, offering a comprehensive approach to handling large-scale telecommunications data. Efficient data archiving ensures that active operational databases are not burdened with excessive historical data, allowing seamless access to relevant records while keeping storage costs manageable. Cloud-based archiving, hierarchical storage management (HSM), and object storage systems are among the techniques discussed. Additionally, query optimization mechanisms, metadata-driven indexing, and intelligent caching strategies are examined to improve retrieval efficiency. Security is a critical component of data archiving, and this paper details encryption techniques, access control mechanisms, and audit trails that ensure the integrity and confidentiality of archived records. The paper also includes case studies from major telecom providers that illustrate the effectiveness of various archiving strategies in real-world scenarios. As the industry moves forward, the integration of artificial intelligence and blockchain technology is expected to further enhance data archiving and retrieval. This white paper serves as a foundational guide for telecommunications operators seeking to implement best practices in managing vast amounts of historical data while maintaining compliance and optimizing performance.

Keywords: Data, Archiving, Telecom, Storage, Retrieval, Compliance, Security, Telecommunications, Retention, Documentation, Papers, Workflows, Scalable, Industry, Best Practices, Solutions, Research, Providers, Strategies, Ensure, Archives, AWS, Technical, Indexing, Case Studies, IEEE, White Paper, High-Volume, Service, Manage, Operational Performance, Regulatory Requirements, Risks, Implementing, Hybrid Models, Automated

Paper Id: 232131

Published On: 2019-07-04

Published In: Volume 7, Issue 4, July-August 2019

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