Case Study: Migrating Financial Data to AWS Red Shift and Athena

Abstract

Today, financial institutions choose to move their financial data to the cloud so they can grow, gain access to analytics instantaneously and control costs. I analyze the adoption of Amazon Web Services (AWS) Redshift and Athena by a middle-sized financial firm, sharing how it was accomplished, issues encountered and the results seen in 2020. The report looks at how machine learning-driven analysis and cloud-based systems helped improve how data is queried and stored. By analyzing ethical, legal and security concerns, important ideas about the wider effects of migrating financial data to the cloud were identified.