Big Data in Finance: An Architectural Overview |
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| © 2023 by IJCTT Journal | ||
| Volume-71 Issue-10 |
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| Year of Publication : 2023 | ||
| Authors : Kaushikkumar Patel | ||
| DOI : 10.14445/22312803/IJCTT-V71I10P108 | ||
How to Cite?
Kaushikkumar Patel, "Big Data in Finance: An Architectural Overview," International Journal of Computer Trends and Technology, vol. 71, no. 10, pp. 61-68, 2023. Crossref, https://doi.org/10.14445/22312803/IJCTT-V71I10P108
Abstract
In the dynamic world of finance, Big Data stands out as a revolutionary element, altering conventional practices and ushering in cutting-edge solutions. This article delves deep into the intricate designs of big data frameworks tailored for the financial realm. By scrutinizing the present-day architectures and their financial applications, this study offers a holistic view of the inherent challenges and emerging opportunities. Moreover, this study presents an innovative architectural blueprint crafted to cater to the distinct demands of the financial industry, ensuring heightened efficiency, robust security, and unmatched flexibility. By weaving together insights from established literature with pioneering solutions, this study seeks to furnish invaluable perspectives for practitioners, academics, and industry stakeholders, underscoring Big Data's instrumental role in sculpting the financial landscape of tomorrow.
Keywords
Big Data, Financial sector, Data architecture, Machine learning, Data analytics, Risk management, Compliance.
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