[1]陈光.基于大数据的数据服务应用研究[J].计算机技术与发展,2018,28(08):129-134.[doi:10.3969/ j. issn.1673-629X.2018.08.027]
 CHEN Guang.Research on Data Service Based on Big Data[J].,2018,28(08):129-134.[doi:10.3969/ j. issn.1673-629X.2018.08.027]
点击复制

基于大数据的数据服务应用研究()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
28
期数:
2018年08期
页码:
129-134
栏目:
应用开发研究
出版日期:
2018-08-10

文章信息/Info

Title:
Research on Data Service Based on Big Data
文章编号:
1673-629X(2018)08-0129-06
作者:
陈光
江苏自动化研究所,江苏 连云港 222006
Author(s):
CHEN Guang
Jiangsu Automation Research Institute,Lianyungang 222006,China
关键词:
大数据云计算数据采集数据分析数据挖掘辅助决策
Keywords:
big datacloud computingdata collectiondata analysisdata miningauxiliary decision
分类号:
TP311
DOI:
10.3969/ j. issn.1673-629X.2018.08.027
文献标志码:
A
摘要:
目前各行业信息系统中数据积累规模迅速增长,传统的数据存储、处理以及应用服务难以适应持续增长的数据应用需求,各级部门无法有效跨单位获取重要数据信息,进而不能帮助上级机关做出重要辅助决策。 对此,提出一种适用于行业数据应用的大数据架构设计,具有并行、分布、稳定、高效等技术特点。 研究大数据存储与处理技术、大数据查询与分析技术以及大数据可视化技术,建立数据分类目录体系标准与信息交换共享机制,确保多数据采集渠道的大规模数据能够有效整合、有序组织,综合运用数据统计、数据分析、数据挖掘等方法,提炼能够保障服务于指挥决策支持信息知识并形成可视化平台,满足不同指挥层级应用人员便捷、及时地掌握应用信息的保障需求,提升应用行动的快速反应能力。
Abstract:
With the rapid growth of the data accumulation in the information system of the industry,the traditional data storage,processing and application services are difficult to adapt to the data application demand of continuous growth,and the departments cannot effectively obtain important data information across the units,which cannot help the higher authorities to make important auxiliary decision. For this, we present a large data architecture design for industrial data application,which is parallel,distributed,stable and efficient. We study large data storage and processing technology,large data query and analysis technology and large data visualization technology,and establish system standards and information exchange sharing mechanism to ensure that large data collection channels of large-scale data can be ef- fectively integrated,orderly organization,The data statistics,data analysis,data mining and other methods are used to extract knowledge to support command and decision information and form visualization platform,which meets the needs of grasping the application information conveniently and timely in different command level application personnel and enhances rapid response capability of application action.

相似文献/References:

[1]王茜,朱志祥,史晨昱,等.应用于数据库安全保护的加解密引擎系统[J].计算机技术与发展,2014,24(01):143.
 WANG Qian[],ZHU Zhi-xiang[],SHI Chen-yu[],et al.Encryption and Decryption Engine System Applying to Database Security and Detection[J].,2014,24(08):143.
[2]陈丹伟 黄秀丽 任勋益.云计算及安全分析[J].计算机技术与发展,2010,(02):99.
 CHEN Dan-wei,HUANG Xiu-li,REN Xun-yi.Analysis of Cloud Computing and Cloud Security[J].,2010,(08):99.
[3]孙放 陈云芳 林杭锋.适用于富客户端的云计算模型[J].计算机技术与发展,2010,(08):96.
 SUN Fang,CHEN Yun-fang,LIN Hang-feng.Cloud Computing Model Applicable to Rich Client Applications[J].,2010,(08):96.
[4]郭苑 张顺颐 孙雁飞.物联网关键技术及有待解决的问题研究[J].计算机技术与发展,2010,(11):180.
 GUO Yuan,ZHANG Shun-yi,SUN Yan-fei.Research of Key Technologies and Unresolved Questions of Internet of Things[J].,2010,(08):180.
[5]李玲娟 张敏.云计算环境下关联规则挖掘算法的研究[J].计算机技术与发展,2011,(02):43.
 LI Ling-juan,ZHANG Min.Research on Algorithms of Mining Association Rule under Cloud Computing Environment[J].,2011,(08):43.
[6]王德政 申山宏 周宁宁.云计算环境下的数据存储[J].计算机技术与发展,2011,(04):81.
 WANG De-zheng,SHEN Shan-hong,ZHOU Ning-ning.Data Storage in Cloud Computing Environment[J].,2011,(08):81.
[7]宋丽华 姜家轩 张建成 田长录 马文征.黄河三角洲云计算平台关键技术的研究[J].计算机技术与发展,2011,(06):40.
 SONG Li-hua,JIANG Jia-xuan,ZHANG Jian-cheng,et al.Research of Key Technologies of Cloud Computing of Yellow River Delta[J].,2011,(08):40.
[8]田宏伟 解福 倪俊敏.云计算环境下基于粒子群算法的资源分配策略[J].计算机技术与发展,2011,(12):22.
 TIAN Hong-wei,XIE Fu,NI Jun-min.Resource Allocation Algorithm Based on Particle Swarm Algorithm in Cloud Computing Environment[J].,2011,(08):22.
[9]张慧 邢培振.云计算环境下信息安全分析[J].计算机技术与发展,2011,(12):164.
 ZHANG Hui,XING Pei-zhen.Information Security Analysis in Cloud Computing Environment[J].,2011,(08):164.
[10]张建成[] 宋丽华[] 鹿全礼[] 郭锐[] 刘永泉[].云计算方案分析研究[J].计算机技术与发展,2012,(01):165.
 ZHANG Jian-cheng,SONG Li-hua,LU Quan-li,et al.Study and Analysis of Cloud Computing Procedure[J].,2012,(08):165.
[11]严霄凤,张德馨.大数据研究[J].计算机技术与发展,2013,(04):168.
 YAN Xiao-feng,ZHANG De-xin.Big Data Research[J].,2013,(08):168.
[12]王雷,陈彦先,袁哲,等. 面向预拌混凝土行业的云计算[J].计算机技术与发展,2014,24(08):14.
 WANG Lei,CHEN Yan-xian,YUAN Zhe JI Xu. Research on Cloud Computing for Ready-mixed Concrete Industry[J].,2014,24(08):14.
[13]张也弛,周文钦,石润华. 一种面向云的大数据完整性检测协议[J].计算机技术与发展,2014,24(09):68.
 ZHANG Ye-chi,ZHOU Wen-qin,SHI Run-hua. A Big Data Integrity Checking Protocol for Cloud[J].,2014,24(08):68.
[14]赵震,任永昌. 大数据时代基于云计算的电子政务平台研究[J].计算机技术与发展,2015,25(10):145.
 ZHAO Zhen,REN Yong-chang. Research on E-government Platform Based on Cloud Computing in Big Data Era[J].,2015,25(08):145.
[15]王杉,刑军,孙滔. 科技项目档案数字化管理系统平台设计实践[J].计算机技术与发展,2016,26(08):143.
 WANG Shan,XING Jun,SUN Tao. Design and Practice of Digital Management Platform for Scientific and Technological Project Archives[J].,2016,26(08):143.
[16]谭天,袁嵩,肖洁. 云计算安全问题研究[J].计算机技术与发展,2016,26(09):124.
 TAN Tian,YUAN Song,XIAO Jie. Research on Security Issues of Cloud Computing[J].,2016,26(08):124.
[17]朱亚东[],高翠芳[]. 基于PSO的云计算环境中大数据优化聚类算法[J].计算机技术与发展,2016,26(09):178.
 ZHU Ya-dong[],GAO Cui-fang[]. Big Data Optimization Clustering Algorithm Based on PSO in Cloud Computing Environment[J].,2016,26(08):178.
[18]汪 朋,姜红玉,封 雷.面向数据处理与管理的云平台系统架构设计[J].计算机技术与发展,2022,32(07):122.[doi:10. 3969 / j. issn. 1673-629X. 2022. 07. 021]
 WANG Peng,JIANG Hong-yu,FENG Lei.Design of Cloud Platform System Architecture for Data Processing and Information Management[J].,2022,32(08):122.[doi:10. 3969 / j. issn. 1673-629X. 2022. 07. 021]

更新日期/Last Update: 2018-09-10