Towards cloud based big data analytics for smart future cities
SPARK (programming language)
Business Intelligence
Data Analysis
Business analytics
Smart City
Data governance
DOI:
10.1186/s13677-015-0026-8
Publication Date:
2015-02-17T14:39:06Z
AUTHORS (4)
ABSTRACT
A large amount of land-use, environment, socio-economic, energy and transport data is generated in cities. An integrated perspective managing analysing such big can answer a number science, policy, planning, governance business questions support decision making enabling smarter environment. This paper presents theoretical experimental on the smart cities focused management analysis by proposing cloud-based analytics service. prototype has been designed developed to demonstrate effectiveness service for analysis. The implemented using Hadoop Spark results are compared. analyses Bristol Open identifying correlations between selected urban environment indicators. Experiments performed presented this paper. pertaining quality life mainly crime safety & economy employment was analysed from catalogue measure indicators spread over years assess positive negative trends.
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