[1]艾丽蓉,刘云峰.基于Hive 的智慧城市数据处理技术研究与实现[J].计算机技术与发展,2018,28(02):9-13.[doi:10.3969/j.issn.1673－629X.2018.02.003]
　AI Lirong,LIU Yunfeng.Research and Implementation of Data Processing Technology of Intelligent City Based on Hive[J].,2018,28(02):9-13.[doi:10.3969/j.issn.1673－629X.2018.02.003]
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基于Hive 的智慧城市数据处理技术研究与实现()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
28
期数:
2018年02期
页码:
9-13
栏目:
智能、算法、系统工程
出版日期:
2018-02-10

文章信息/Info

Title:
Research and Implementation of Data Processing Technology of Intelligent City Based on Hive
文章编号:
1673－629X(2018)02－0009－05
作者:
艾丽蓉; 刘云峰
西北工业大学 计算机学院，陕西 西安 710129
Author(s):
AI Li－rong; LIU Yun－feng
School of Computer Science，Northwest Polytechnical University，Xi’an 710129，China
关键词:
智慧城市; Hive; 数据采集; 数据可视化分析
Keywords:
smart city; Hive; data acquisition; data visualization analysis
分类号:
TP311
DOI:
10.3969/j.issn.1673－629X.2018.02.003
文献标志码:
A
摘要:
对智慧城市系统中产生的大量数据进行有效的采集、合理的存储、高效精准的分析，进而对决策的做出提供合理的支持是在智慧城市建设过程中必须要解决的问题。对此，在充分理解智慧园区数据分析系统功能需求、性能需求的基础上，结合当前比较主流的数据分析方面的技术，提出了 Kettle+Hive+Tableau 的智慧园区数据分析解决方案。该系统具有较高的可用性、稳定性、效率以及非常高的扩展性、可移植性，不仅适合于对智慧园区的数据分析，还普遍适用于对智能化信息系统数据进行分析，具有较高的普适性、通用性。该系统通过 ETL 工具、数据可视化工具的应用，尽量减少在数据分析系统开发过程中代码的编写，能够适用于绝大部分有数据分析需求并且数据量较大的信息化系统。
Abstract:
It must be solvable for effective acquisition，reasonable storage，efficient and accurate analysis of the large amounts of data from intelligent city system，and then providing the reasonable support for decision－making in the construction of intelligent city．For this，combined with currently mainstream data analysis technologies，we propose a data analysis solution of Kettle+Hive+Tableau for intelligent park on the basis of fully understanding the functional requirements and performance requirements of the intelligent park data analysis system．The system is of better availability，stability and efficiency as well as excellent scalability and portability，which is not only suitable for the data analysis of wisdom park，but also widely applied to the analysis of data from intelligent information system．In addition，it has high universality．Through the application of ETL tools and data visualization tools，it minimizes the writing code in the development of data analysis system，which can be applied to most of the information system with data analysis needs and lots of data．

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更新日期/Last Update: 2018-03-26