摘要
当前信息化进程高速推进,风险预警已成为各行业发展中必须重点关注的领域。为此,文章以大数据技术为支撑,深入剖析动态风险预警体系的构建路径,并详细阐释在架构搭建、数据处理流程等关键环节中,大数据技术的实际应用方式。研究的核心目标是为经济发展背景下各行业应对风险提供高效且科学的解决方案,助力各主体提升风险预警能力,进而减少潜在损失。
Currently,the rapid advancement of information technology has underscored the importance of risk early warning as a critical area of focus across various industries.To address this,the article leverages big data technology to conduct an in-depth analysis of the construction pathway for a dynamic risk early warning system.It elaborates on the practical application of big data technology in key aspects such as system architecture development and data processing procedures.The core objective of the research is to provide efficient and scientific solutions for industries to manage risks in the context of economic development,thereby enhancing their risk early warning capabilities and mitigating potential losses.
作者
马欣
MA Xin(Henan Academy of Social Sciences,Zhengzhou Henan 450000,China)
出处
《信息与电脑》
2025年第19期48-50,共3页
Information & Computer
基金
河南省社会科学院2025年基本科研费项目“党内监督为主导各类监督贯通协调的体制机制研究”阶段性成果(项目编号:25E121)。
关键词
大数据
动态风险
预警体系
数据处理
风险识别
big data
dynamic risk
early warning system
data processing
risk identification
