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							IMPLEMENTING MYSQL FOR REAL-TIME DATA ANALYTICS IN FINTECH
Abstract
Growing necessity for real-time analytics requires high scalability, security in data systems. This paper outlines the use of MySQL database, which is used to present real-time analytics on various applications in the FinTech area, with a greater possibility of handling high frequency of data, adherence to industries and scalable operation systems. The structure of MySQL is thoroughly examined in article with particular attention paid to features like query performance, data portioning and support for ACID compliance that make it a reliable choice for handling client data and financial transactions. Practical solutions like encryption and audit logs are suggested in order to address issues like scalability, data security and support for multi-currency systems. While highlighting areas for future growth to satisfy the sector’s shifting needs, the findings.
References
Clinton Daniel, Janis Gogan. (2024). Streaming Analytics with MySQL for FinTech Applications.
Morshadul Hasan, Ariful Hoque, Thi Le. (2023). ig Data-Driven Banking Operations: Opportunities, Challenges, and Data Security Perspectives.
P. Krishnamoorthy. (2024). Big Data Analytics in Credit Risk Assessment and Fraud Detection in FinTech.
Vamsee Krishna Ravi, Abhishek Tangudu,Ravi Kumar, Dr.Priya Pandey, Aravind Ayyagari, Prof.(Dr.) Punit Goel. (n.d.). Real-time Analytics in Cloud-based Data solutions.
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