Real-Time Data Streaming: Transforming FinTech Through Modern Data Architectures

This comprehensive article explores the transformative impact of real-time data streaming technologies in the financial services sector through four detailed case studies. It examines how leading financial institutions have leveraged modern data architectures, including Apache Kafka, Spark Streaming, AWS Kinesis, and cloud computing platforms, to address critical business challenges. The article demonstrates how these technologies enable instantaneous fraud detection, enhanced customer experience through personalized offerings, streamlined regulatory reporting, and optimized customer acquisition strategies. Throughout the analysis, the article highlights implementation challenges, technical considerations, and valuable lessons learned, providing essential insights for financial organizations seeking to modernize their data infrastructure and maintain a competitive advantage in an increasingly real-time business environment.

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Publication Details

Journal
European Journal of Computer Science and Information Technology
Published
2025-04-15
DOI
https://doi.org/10.37745/ejcsit.2013/vol13n184964
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Real-Time Data Streaming: Transforming FinTech Through Modern Data Architectures

Sudhir Kumar
European Journal of Computer Science and Information Technology
Cloud Computing and Resource Management
article

Real-Time Data Streaming: Transforming FinTech Through Modern Data Architectures

Sudhir Kumar
article en

Abstract

This comprehensive article explores the transformative impact of real-time data streaming technologies in the financial services sector through four detailed case studies. It examines how leading financial institutions have leveraged modern data architectures, including Apache Kafka, Spark Streaming, AWS Kinesis, and cloud computing platforms, to address critical business challenges. The article demonstrates how these technologies enable instantaneous fraud detection, enhanced customer experience through personalized offerings, streamlined regulatory reporting, and optimized customer acquisition strategies. Throughout the analysis, the article highlights implementation challenges, technical considerations, and valuable lessons learned, providing essential insights for financial organizations seeking to modernize their data infrastructure and maintain a competitive advantage in an increasingly real-time business environment.

European Journal of Computer Science and Information TechnologyVol. 13(18)
New Leaders (US)
Openalex Percentile: Top 86%
Cloud Computing and Resource Management
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