Real-Time Data Streaming in Financial Services: Tools, Applications, and Implications

Author(s)	Pavan Kumar Mantha
Country	United States
Abstract	Financial services firms encounter unparalleled expectations for agility, personalization, and compliance throughout the digital transformation age. Real-time data streaming, facilitated by technologies like Apache Kafka, Apache Spark Structured Streaming, Apache Flink, and Apache Pulsar, has become crucial for handling high-volume, high-velocity data streams. This article assesses these technologies, their architectural intricacies, performance attributes, and practical applications in trading, fraud detection, credit scoring, and compliance. The analysis utilizes industry documentation and scholarly sources to assist practitioners in implementing strategic real-time streaming solutions.
Field	Engineering
Published In	Volume 5, Issue 6, November-December 2023
Published On	2023-12-06
DOI	https://doi.org/10.36948/ijfmr.2023.v05i06.47563
Short DOI	https://doi.org/g9q3zd

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International Journal For Multidisciplinary Research