摘要
文章首先分析了在安防领域构建大数据架构的难题以及相关的问题。以海量时序数据存储分析、实时全文检索分析、实时碰撞比对分析、关系分析、布控告警五种典型的安防应用场景为例,分别对不同技术进行比较,阐述了不同场景下该选择哪一种大数据技术最优。文章最后提出应该构建一个多维的大数据架构,用来满足不同的安防应用场景,以及对数据湖存储分析技术做了初步展望。
This paper first analyzes the problems and related problems in the construction of big data architecture in the field of security.Taking five typical security application scenarios of massive sequential data storage analysis,real-time full-text retrieval analysis,real-time collision comparison analysis,relationship analysis,and deployment alarm as examples,this paper compares different technologies respectively,and expounds which big data technology is the best choice under different scenarios.In the end,this paper proposes that a multi-dimensional big data architecture should be constructed to meet different security application scenarios,and makes a preliminary prospect of data lake storage and analysis technology.
出处
《数码设计》
2019年第22期76-77,共2页
Peak Data Science
关键词
安防
大数据架构
存储分析
security
Big data architecture
Storage analysis