Big Data Techniques:, A Survey

Jamal N. Hasoon, Assist. Prof. Dr. Rehab Hassan
{"title":"Big Data Techniques:, A Survey","authors":"Jamal N. Hasoon, Assist. Prof. Dr. Rehab Hassan","doi":"10.34279/0923-009-004-011","DOIUrl":null,"url":null,"abstract":"Big data refer to the large volume of data, it can be analyzed for strategic Developing and better decisions. Big Data applications exaggerate in near few years because a traditional data techniques be limited specification. Various types of distributions and technologies used to suffer the Big Data challenges are developed. A survey of recent technologies are review for Big Data. The main technologies features are studied enable to extract knowledge from Big Data. Such distributions have some limitations and may differ in offerings and capacities. The used technologies face the increasing multi-streams and Big Data challenges. In this work review the big data technologies and challenge.","PeriodicalId":422374,"journal":{"name":"المجلة العراقية لتكنولوجيا المعلومات","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"المجلة العراقية لتكنولوجيا المعلومات","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34279/0923-009-004-011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Big data refer to the large volume of data, it can be analyzed for strategic Developing and better decisions. Big Data applications exaggerate in near few years because a traditional data techniques be limited specification. Various types of distributions and technologies used to suffer the Big Data challenges are developed. A survey of recent technologies are review for Big Data. The main technologies features are studied enable to extract knowledge from Big Data. Such distributions have some limitations and may differ in offerings and capacities. The used technologies face the increasing multi-streams and Big Data challenges. In this work review the big data technologies and challenge.
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
大数据技术:调查
大数据是指大量的数据,它可以分析战略发展和更好的决策。由于传统数据技术规范的限制,大数据的应用在近几年内将会扩大。各种类型的分布和技术被用来应对大数据的挑战。对大数据的最新技术进行了综述。研究了从大数据中提取知识的主要技术特点。这些发行版有一些限制,可能在产品和功能上有所不同。所使用的技术面临着越来越多的多流和大数据的挑战。本文综述了大数据技术及其面临的挑战。
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
Color Halftone Visual Cryptography Scheme Using Dynamic Code Book And Error Diffusion Technique A Comparison Between Multiple Features Extraction Method For Iraq Currency Image Mobile Platform For Various Patients Case's Assessment Via Telemedicine Computer –Based Intruder Detection Alarm System دور نظم المعلومات الإدارية في تقييم أداء الموظفين السنوي:, دراسة ميدانية
×
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