XML大数据存储技术综述:一种实时方法

S. Sankari, S. Bose
{"title":"XML大数据存储技术综述:一种实时方法","authors":"S. Sankari, S. Bose","doi":"10.1109/ICRTIT.2016.7569569","DOIUrl":null,"url":null,"abstract":"Recent tremendous increase in the use of huge amount of XML data over the web leads to the development of new technologies. The special characteristic of XML is its flexible structure that makes XML as the widely used data format. Big data generally refers large amount of data of any type. As the size of the XML data is increased, XML big data takes the advantage of considering both XML and big data. Hence, innovative technologies are essential to handle XML big data. Therefore, it is necessary for the technologies to emphasize more on storage and management of XML big data. We elucidate the fundamental features of XML and big data. An important aspect of this survey is about the considerations of storage technologies for XML big data in real-time applications. This paper provides a review on latest technologies that can store, process and manage XML big data efficiently. In particular, the paper outlines the efficient storage technologies that can be applied to support XML big data. On the whole, based on the current technologies and literature review, our paper enumerates XML big data storage technologies that are available for real-world applications.","PeriodicalId":351133,"journal":{"name":"2016 International Conference on Recent Trends in Information Technology (ICRTIT)","volume":"155 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Elaborative survey on storage technologies for XML big data: A real-time approach\",\"authors\":\"S. Sankari, S. Bose\",\"doi\":\"10.1109/ICRTIT.2016.7569569\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent tremendous increase in the use of huge amount of XML data over the web leads to the development of new technologies. The special characteristic of XML is its flexible structure that makes XML as the widely used data format. Big data generally refers large amount of data of any type. As the size of the XML data is increased, XML big data takes the advantage of considering both XML and big data. Hence, innovative technologies are essential to handle XML big data. Therefore, it is necessary for the technologies to emphasize more on storage and management of XML big data. We elucidate the fundamental features of XML and big data. An important aspect of this survey is about the considerations of storage technologies for XML big data in real-time applications. This paper provides a review on latest technologies that can store, process and manage XML big data efficiently. In particular, the paper outlines the efficient storage technologies that can be applied to support XML big data. On the whole, based on the current technologies and literature review, our paper enumerates XML big data storage technologies that are available for real-world applications.\",\"PeriodicalId\":351133,\"journal\":{\"name\":\"2016 International Conference on Recent Trends in Information Technology (ICRTIT)\",\"volume\":\"155 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Recent Trends in Information Technology (ICRTIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICRTIT.2016.7569569\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Recent Trends in Information Technology (ICRTIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRTIT.2016.7569569","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

最近在web上大量使用XML数据的巨大增长导致了新技术的发展。XML的特殊之处在于其灵活的结构使其成为广泛使用的数据格式。大数据一般是指任何类型的大量数据。随着XML数据大小的增加,XML大数据利用了同时考虑XML和大数据的优势。因此,创新技术对于处理XML大数据至关重要。因此,有必要对XML大数据的存储和管理技术进行进一步的重视。我们阐明了XML和大数据的基本特征。本调查的一个重要方面是关于在实时应用程序中对XML大数据存储技术的考虑。本文综述了XML大数据高效存储、处理和管理的最新技术。特别地,本文概述了可用于支持XML大数据的高效存储技术。总的来说,在对现有技术和文献综述的基础上,本文列举了可用于实际应用的XML大数据存储技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Elaborative survey on storage technologies for XML big data: A real-time approach
Recent tremendous increase in the use of huge amount of XML data over the web leads to the development of new technologies. The special characteristic of XML is its flexible structure that makes XML as the widely used data format. Big data generally refers large amount of data of any type. As the size of the XML data is increased, XML big data takes the advantage of considering both XML and big data. Hence, innovative technologies are essential to handle XML big data. Therefore, it is necessary for the technologies to emphasize more on storage and management of XML big data. We elucidate the fundamental features of XML and big data. An important aspect of this survey is about the considerations of storage technologies for XML big data in real-time applications. This paper provides a review on latest technologies that can store, process and manage XML big data efficiently. In particular, the paper outlines the efficient storage technologies that can be applied to support XML big data. On the whole, based on the current technologies and literature review, our paper enumerates XML big data storage technologies that are available for real-world applications.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信