THE DATA-DRIVEN FUTURE OF FINANCE: ADVANCES IN ENGINEERING FOR REAL-TIME ANALYTICS AND DECISION MAKING
Keywords:
Data Engineering, Financial Technology (FinTech), Real-Time Analytic, Blockchain Finance, Cloud ComputingAbstract
The finance industry is experiencing a paradigm shift driven by technological advancements and the exponential growth of data. This article examines the evolving role of data engineering in shaping the future of finance, focusing on four key areas: real-time data processing and analytics, blockchain and decentralized finance (DeFi), cloud-native and serverless architectures, and the emerging concept of data mesh. We analyze how these technologies are transforming financial services, from high-frequency trading and fraud detection to decentralized data management and cost-effective cloud solutions. The article highlights the challenges and opportunities presented by these innovations, including the need for enhanced security measures, regulatory compliance, and new skill sets for data professionals. By exploring case studies and industry trends, we demonstrate that data engineering is not merely a support function but a critical driver of innovation in finance. The article concludes by discussing the implications for financial institutions and data engineers, emphasizing the importance of ethical considerations, cross-domain expertise, and continuous adaptation in this rapidly evolving landscape.
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