A short survey on the state of the art in architectures and platforms for large scale data analysis and knowledge discovery from data

Edmon Begoli
{"title":"A short survey on the state of the art in architectures and platforms for large scale data analysis and knowledge discovery from data","authors":"Edmon Begoli","doi":"10.1145/2361999.2362039","DOIUrl":null,"url":null,"abstract":"Intended as a survey for practicing architects and researchers seeking an overview of the state-of-the-art architectures for data analysis, this paper provides an overview of the emerging data management and analytic platforms including parallel databases, Hadoop-based systems, High Performance Computing (HPC) platforms and platforms popularly referred to as NoSQL platforms. Platforms are presented based on their relevance, analysis they support and the data organization model they support.","PeriodicalId":116686,"journal":{"name":"Proceedings of the WICSA/ECSA 2012 Companion Volume","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"29","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the WICSA/ECSA 2012 Companion Volume","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2361999.2362039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 29

Abstract

Intended as a survey for practicing architects and researchers seeking an overview of the state-of-the-art architectures for data analysis, this paper provides an overview of the emerging data management and analytic platforms including parallel databases, Hadoop-based systems, High Performance Computing (HPC) platforms and platforms popularly referred to as NoSQL platforms. Platforms are presented based on their relevance, analysis they support and the data organization model they support.
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
对大规模数据分析和从数据中发现知识的架构和平台的现状进行简短的调查
本文旨在为寻求最新数据分析体系结构概述的执业架构师和研究人员提供一份调查报告,概述了新兴的数据管理和分析平台,包括并行数据库、基于hadoop的系统、高性能计算(HPC)平台和平台,以及通常被称为NoSQL平台。根据平台的相关性、支持的分析以及支持的数据组织模型来介绍平台。
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
Aligning architecture knowledge management with Scrum VULCAN: architecture-model-based software development workbench Second international workshop on variability in software architecture Framework for monitoring and testing web application scalability on the cloud Architectures and platforms for knowledge discovery from data: workshop at WICSA/ECSA 2012
×
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