Real-Time Risk Analytics with Data Engineering Pipelines
DOI:
https://doi.org/10.15662/IJARCST.2025.0803013Keywords:
real-time analysis, data risk, data thing, data pipe stream data.Abstract
Risk analysis in real-time is now a staple in the contemporary organization with focus being observed in the financial sector, health sector, and the manufacturing unit. Because of the latest tools in data engineering, large data sets can be analyzed and quickly red flagged in case of risks. This approach entails the ability to take stock of data and then blend, integrate and make sense of it through the use of rapidly advancing technology tools including stream processing, cloud computing, and machine learning, among others. Through these pipelines, risks are prevented in advance, losses are reduced and optimum performance is created by organizations. Based on the analysis of the real-time applications, problems, and perspectives of risk analytics, this paper elaborates real-time risk analytics with detail information.
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