Cloud DATA LAKE: The new trend of data storage

Elisabeta Zagan, M. Danubianu
{"title":"Cloud DATA LAKE: The new trend of data storage","authors":"Elisabeta Zagan, M. Danubianu","doi":"10.1109/HORA52670.2021.9461293","DOIUrl":null,"url":null,"abstract":"In databases field, the term Data Lake is increasingly common, which is a new raw data storage technology to undergo further advanced processing and analysis. Today there are for different ways to implement Data Lake architecture, namely: Data Lake On-Premises, Cloud Data Lake, Hybrid Data Lake and Multi-Cloud Data Lake. Each of these architectures has their own advantages and disadvantages, and yet the new trend is to go in Cloud. In this work, we will briefly explain what a Date Lake is, what the for different architectures are, and we will broadly present the major benefits of the Cloud architecture and its shortcomings in order to provide a preliminary guide on the implementation of Data Lake architecture.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HORA52670.2021.9461293","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

In databases field, the term Data Lake is increasingly common, which is a new raw data storage technology to undergo further advanced processing and analysis. Today there are for different ways to implement Data Lake architecture, namely: Data Lake On-Premises, Cloud Data Lake, Hybrid Data Lake and Multi-Cloud Data Lake. Each of these architectures has their own advantages and disadvantages, and yet the new trend is to go in Cloud. In this work, we will briefly explain what a Date Lake is, what the for different architectures are, and we will broadly present the major benefits of the Cloud architecture and its shortcomings in order to provide a preliminary guide on the implementation of Data Lake architecture.
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
云数据湖:数据存储的新趋势
在数据库领域,数据湖这个术语越来越普遍,它是一种新的原始数据存储技术,可以进行进一步的高级处理和分析。今天,有不同的方式来实现数据湖架构,即:数据湖本地,云数据湖,混合数据湖和多云数据湖。每一种架构都有自己的优点和缺点,但是新的趋势是采用云计算。在本文中,我们将简要解释什么是数据湖,不同的架构是什么,我们将广泛地介绍云架构的主要优点和缺点,以便为数据湖架构的实现提供初步指导。
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
IMMBA – An Integrative Model for Mobile Banking Adoption: The Case of Saudi Arabia Design of Mobile Robot with Strandbeest Walking Mechanism to Overcome the Set Type Obstacle Analysis of the KNN Classifier Distance Metrics for Bulgarian Fake News Detection Determine the Shortest Path Problem Using Haversine Algorithm, A Case Study of SMA Zoning in Depok Integration of Cloud-Based Speech Recognition System to the Internet of Things Based Smart Home Automation
×
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