Assessment and Integration of Relational Databases, Big Data, and Cloud Computing in Financial Institutions: Performance Comparison

Adept data management, as well as analysis, hold an increasing significant role in fast progressing filed of financial modeling. This paper is based on major elements such as relational databases, big data and cloud computing, each of them is presented from a perspective concerning financial modeling. The proposed solution is based on our investigation into the usability of each technology, optimal contexts for their application, and the methods for effectively interconnecting them. Each element is described in terms of operational efficiency, integration and overall performance, with machine learning techniques as means of assessment. Besides the thorough presentation of these technologies, the paper includes an analysis of their implementation so as to improve financial modeling of financial institutions. The interconnectivity and the correct utilization of the application of this technologies may prove of utmost importance because of relational databases, big data, and cloud computing, which represent major data-driven elements for the business environment.

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Publication Details

Published
2024-09-04
DOI
https://doi.org/10.1109/inista62901.2024.10683852
Citations
2
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
1.06
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article

Assessment and Integration of Relational Databases, Big Data, and Cloud Computing in Financial Institutions: Performance Comparison

Sergiu-Alexandru Ionescu, Andreea-Oana Radu
2 citations
Big Data and Business Intelligence
1.06
article

Assessment and Integration of Relational Databases, Big Data, and Cloud Computing in Financial Institutions: Performance Comparison

Sergiu-Alexandru Ionescu, Andreea-Oana Radu
article en
2 citations

Abstract

Adept data management, as well as analysis, hold an increasing significant role in fast progressing filed of financial modeling. This paper is based on major elements such as relational databases, big data and cloud computing, each of them is presented from a perspective concerning financial modeling. The proposed solution is based on our investigation into the usability of each technology, optimal contexts for their application, and the methods for effectively interconnecting them. Each element is described in terms of operational efficiency, integration and overall performance, with machine learning techniques as means of assessment. Besides the thorough presentation of these technologies, the paper includes an analysis of their implementation so as to improve financial modeling of financial institutions. The interconnectivity and the correct utilization of the application of this technologies may prove of utmost importance because of relational databases, big data, and cloud computing, which represent major data-driven elements for the business environment.

Bucharest University of Economic Studies (RO)
Openalex Percentile: Top 17%
Big Data and Business Intelligence
1.06
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