Cloud Platform-Enabled Collaborative Application Models of Big Data and Cloud Computing in Finance
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Abstract.For the first time, by integrating convergent big-data-analysis and cloud-computing technology to organise enterprises' large-scale financial management from all angles. This paper studies the Collaborative Application Models realised by Cloud Platforms for the Integration of Large-Scale Data Processing and Financial Operations, such as Real-Time Reporting, Risk Management and Resource Optimization. Based on existing research Frameworks for Information System and Financial Technology, this paper explores how service model - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), And Software as a Service (SaaS) interacts with Big Data Pipelines to build coherent financial Intelligence Systems. There are also problems during implementation to implement the above countermeasures; specifically related to issues with data Governance and Regulations. Based on the results, it can be inferred from these that only through intentional integration among various aspects does an ideal system result. Practitioners' navigation of cloud adoption under regulated financial conditions is given recommendations.
Keywords.
Cloud computing
big data analytics
financial management
cloud platform
data governance
financial technology
collaborative application
APA Citation
Yuqi Zheng (2026). Cloud Platform-Enabled Collaborative Application Models of Big Data and Cloud Computing in Finance. Journal of Computer Science and Artificial Intelligence, 7(2), 1-4. https://doi.org/10.54097/v45tpn85
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