Design of real-time data analysis system based on Impala

Jingmin Li
{"title":"Design of real-time data analysis system based on Impala","authors":"Jingmin Li","doi":"10.1109/WARTIA.2014.6976427","DOIUrl":null,"url":null,"abstract":"With the continuous development of Internet technology, from a mass of data real-time, efficient analysis and dig out the valuable information, especially important for enterprises. At present, relatively common practice is built up data analysis system in the Hadoop environment based on Hive. But it is more suitable for the batch processing in large data of clusters, and is not suitable for the real-time processing of large data requirements brought about by the development of the business adjustment. This paper presents a real-time data analysis system based on Impala. It can be used as a good supplement scheme. This paper will explain the thought and method of the construction of the real-time data analysis system based on Impala, from the system selection, system architecture, and practical.","PeriodicalId":288854,"journal":{"name":"2014 IEEE Workshop on Advanced Research and Technology in Industry Applications (WARTIA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Workshop on Advanced Research and Technology in Industry Applications (WARTIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WARTIA.2014.6976427","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

Abstract

With the continuous development of Internet technology, from a mass of data real-time, efficient analysis and dig out the valuable information, especially important for enterprises. At present, relatively common practice is built up data analysis system in the Hadoop environment based on Hive. But it is more suitable for the batch processing in large data of clusters, and is not suitable for the real-time processing of large data requirements brought about by the development of the business adjustment. This paper presents a real-time data analysis system based on Impala. It can be used as a good supplement scheme. This paper will explain the thought and method of the construction of the real-time data analysis system based on Impala, from the system selection, system architecture, and practical.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于Impala的实时数据分析系统设计
随着互联网技术的不断发展,从海量数据中实时、高效地分析并挖掘出有价值的信息,对企业尤为重要。目前比较普遍的做法是在Hadoop环境下基于Hive构建数据分析系统。但它更适合集群大数据中的批量处理,不适合业务调整发展带来的大数据实时处理需求。提出了一种基于Impala的实时数据分析系统。它可以作为一个很好的补充方案。本文将从系统选型、系统架构、实际应用等方面阐述基于Impala的实时数据分析系统的构建思路和方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Hospital digital library based on cloud computing Design and actualization of management system in sports teaching A topology control algorithm for ribbon wireless sensor network From the user experience to optimization design in App development process Research on communication network architecture of energy internet based on SDN
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1