场景驱动的交通大数据平台数据架构设计

Scenario-driven Data Architecture Design of Transport Big Data Platform

针对交通大数据平台的建设面临的缺乏科学合理的数据架构,导致数据应用时数据汇聚难、现状分析难、决策支撑难的问题,分析了交通大数据的应用的离线数据分析与实时数据服务的两种场景,结合场景需求与交通数据特点,设计了涵盖原始库、标准库、指标库的交通大数据平台数据分层架构模式,通过深圳市交通大数据平台的实践证明,这一架构设计能够满足离线数据分析与实时数据服务两种不同的应用场景。

One of the critical challenges in building transport big data platform is the design of reasonable data architecture.This paper analyzes two typical application scenario of transport big data:offline data analysis and real-time data services.A hierarchical data architecture model that consists of original data layer,standard data layer and indicator data layer is designed considering the application demands and transport data characteristics.A transport big data platform is built in Shenzhen and proved that the ability of this architecture design to meet demands of both apolication scenarios.