The research and design of SQL processing in a data-mining system based on MapReduce

Lei Zhang, Kaiping Li, Bin Wu
{"title":"The research and design of SQL processing in a data-mining system based on MapReduce","authors":"Lei Zhang, Kaiping Li, Bin Wu","doi":"10.1109/CCIS.2011.6045079","DOIUrl":null,"url":null,"abstract":"SQL as a database language has been widely used in the modern society. Its function mainly focuses on the data processing, which can be used in data-mining. Due to the rapid growth of data, large-scale data processing is becoming a focal point of information techniques. Though we can still use SQL, but where to store the data and how to get the data efficiently, cost effectively, can be a tricky problem. Cloud computing emerges to solve the problem. It is mainly to deal with large-scale data processing. In this paper, we design a data-mining system which can directly deal with SQL processing based on Hadoop, a parallel store and computing platform. Then we will have a discussion about running time's efficiencies.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"203 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCIS.2011.6045079","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

SQL as a database language has been widely used in the modern society. Its function mainly focuses on the data processing, which can be used in data-mining. Due to the rapid growth of data, large-scale data processing is becoming a focal point of information techniques. Though we can still use SQL, but where to store the data and how to get the data efficiently, cost effectively, can be a tricky problem. Cloud computing emerges to solve the problem. It is mainly to deal with large-scale data processing. In this paper, we design a data-mining system which can directly deal with SQL processing based on Hadoop, a parallel store and computing platform. Then we will have a discussion about running time's efficiencies.
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MapReduce的数据挖掘系统中SQL处理的研究与设计
SQL作为一种数据库语言在现代社会得到了广泛的应用。它的功能主要集中在数据处理上,可用于数据挖掘。由于数据的快速增长,大规模的数据处理正成为信息技术的一个焦点。虽然我们仍然可以使用SQL,但是在哪里存储数据以及如何高效、经济地获取数据可能是一个棘手的问题。云计算的出现就是为了解决这个问题。它主要是处理大规模的数据处理。本文基于并行存储和计算平台Hadoop设计了一个可以直接处理SQL处理的数据挖掘系统。然后我们将讨论运行时间的效率。
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
A dynamic and integrated load-balancing scheduling algorithm for Cloud datacenters A CPU-GPU hybrid computing framework for real-time clothing animation The communication of CAN bus used in synchronization control of multi-motor based on DSP An improved dynamic provable data possession model Ensuring the data integrity in cloud data storage
×
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:481959085
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