Papers by Sivakumar Ponnusamy
Asian Journal of Research in Computer Science, May 14, 2024
International Journal Of Creative Research Thoughts, 2023
Transferring data to cloud platforms like AWS has gained momentum, particularly in the Banking an... more Transferring data to cloud platforms like AWS has gained momentum, particularly in the Banking and Finance sectors of the digital age. While offering advantages, this migration also carries significant data safety and regulatory concerns. This paper investigates the difficulties in ensuring data protection and adherence to regulations while migrating banking and finance organizations to the AWS Cloud. By methodically examining the legal and regulatory framework, we discovered that it encompasses Title V, PCI DSS, GDPR, and CCPA. This framework investigates the relevant laws and guidelines covering industry participants, including S.E.C. Rule 17-a-4(f), Reg-S.C.I., EU Data Protection Directives, FedRAMPs, FIPS 140-2, and NIST-800-171. And thereby, a detailed inquiry brings to complicated web of laws and vulnerabilities. Navigating this terrain requires a suite of tactics based on the collective wisdom of industry experts, AWS best practices, and triumphant real-world examples. This publication offers essential support for companies undergoing cloud migration in the banking and finance industry, shedding light on their challenges and providing actionable recommendations to ensure compliance and robust data protection. These insights might help shape the legislation that aligns with cloud services' compliance requirements.
Seventh Sense Research Group, 2023
Data Warehousing has evolved over the past few decades primarily due to the exponential growth of... more Data Warehousing has evolved over the past few decades primarily due to the exponential growth of data that traditional system is unable to handle and secondly due to technological advancement, which makes it feasible to have realtime data and cloud technology which provides unlimited storage and scalability. The journey for these changes started with the MIS (Management Information system) when data integration from various IT systems was possible. In the next stages, data repositories come into demand, and warehousing modernizes with the assistance of data mart mechanisms. The emergence of new tools and software used for the same has also given rise to Modern cloud-based SaaS data processing systems. Data lakes and data lakehouses have transformed the systems, providing greater autonomy and enabling the processing of larger volumes of data to generate insights for decision-making. The future of Datawarehouse will be based on AI and Machine Learning, which would be helpful with infrastructure scalability, cost savings, and agility, as well as increasing the reliability and usability of the data as well.
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Papers by Sivakumar Ponnusamy