Hybrid Cloud Architectures for Financial Data Lakes: Security, Governance, and Performance

Authors: Pavan Kumar Mantha

DOI: https://doi.org/10.37082/IJIRMPS.v10.i4.232817

Short DOI: https://doi.org/

Country: United States

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Abstract: Financial institutions face escalating pressure to modernize their data analytics capabilities as legacy on-premises Hadoop systems struggle to meet current demands. The core conflict for the industry lies between the inherent limitations of these traditional systems and the pronounced compliance and security concerns associated with migrating sensitive workloads to public cloud data lakes offered by AWS, Azure, and GCP. This report provides a comparative analysis of on-premises, full-cloud, and hybrid data lake models, evaluating them across the critical pillars of security, governance, performance, and cost. The central thesis presented is that a well-designed hybrid architecture provides the optimal balance for the financial sector. It offers a strategic pathway to lower the Total Cost of Ownership (TCO) and embrace cloud innovation while ensuring rigorous adherence to stringent regulations like the Payment Card Industry Data Security Standard (PCI DSS) and the General Data Protection Regulation (GDPR).

Keywords: Hybrid Cloud, Data Lake, Financial Services, Hadoop, AWS, Azure, GCP, Data Security, Data Governance, PCI DSS, GDPR, Total Cost of Ownership (TCO), Cloud Migration.

Paper Id: 232817

Published On: 2022-08-06

Published In: Volume 10, Issue 4, July-August 2022

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