摘要
文章分析了云计算和人工智能对大数据可视化分析的推动作用、机理与挑战,并提出应对策略.研究显示,将大数据可视化提升至更分布式、智能化水平,为决策提供关键支持.此外,要解决数据差异、性能费用和数据保护等问题,就要借助统一规范、开源技术、数据隔离和访问控制等手段,从而为促进大数据可视化在云计算和人工智能环境下的发展提供框架指导.
Abstract
This paper analyzes the driving role,mechanism and challenges of cloud computing and artificial intelligence to big data visual analysis,and provides countermeasures.Research shows that bringing big data visualization to a more distributed,intelligent level provides critical support for decision making.In addition,to address issues such as data disparities,performance costs,and data protection,it is necessary to use uniform specifications,open source technologies,data isolation,and access control to provide framework guidance for facilitating the development of big data visualization in cloud computing and artificial intelligence environments.
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