Construction and Application of Data Standard in Big Data Environment

被引:0
作者
Jia, Haitian [1 ]
Jia, Chun [2 ]
机构
[1] Suzhou Inst Trade & Commerce, Suzhou 215009, Peoples R China
[2] Yellow River Conservancy Tech Inst, Kaifeng 475004, Peoples R China
来源
BDE 2019: 2019 INTERNATIONAL CONFERENCE ON BIG DATA ENGINEERING | 2019年
关键词
Hadoop; Unstructure data; Data Standard; Spark;
D O I
10.1145/3341620.3341639
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
School informatization Construction has gone through 10 years, Multiple systems operate independently. Meanwhile, the role of unstructured data resources about security monitoring, smart card system, online course resources has become more and more important in the construction of intelligent campus. According to the present condition of the school, this paper give a data model for the information construction of colleges and universities. Solving the System Fusion put to use Hadoop distributed system Architecture between structured data and unstructured data, Providing basis for data analysis and decision-making. Big data will become the evolutive direction of Intelligent Campus in the next few years, It will promote the construction of school informatization about Construction and implementation.
引用
收藏
页码:121 / 124
页数:4
相关论文
共 50 条
[21]   Intelligent Classification Method of Remote Sensing Image Based on Big Data in Spark Environment [J].
Zhichao Xing ;
Guangming Li .
International Journal of Wireless Information Networks, 2019, 26 :183-192
[22]   Intelligent Classification Method of Remote Sensing Image Based on Big Data in Spark Environment [J].
Xing, Zhichao ;
Li, Guangming .
INTERNATIONAL JOURNAL OF WIRELESS INFORMATION NETWORKS, 2019, 26 (03) :183-192
[23]   Exploiting encrypted and tunneled multimedia calls in high-speed big data environment [J].
M. Mazhar Rathore ;
Awais Ahmad ;
Anand Paul ;
Seungmin Rho .
Multimedia Tools and Applications, 2018, 77 :4959-4984
[24]   Big Data: framework and issues [J].
Hbibi, Lamyae ;
Barka, Hafid .
2016 INTERNATIONAL CONFERENCE ON ELECTRICAL AND INFORMATION TECHNOLOGIES (ICEIT), 2016, :485-490
[25]   Big Data Processing Stacks [J].
Sakr, Sherif .
IT PROFESSIONAL, 2017, 19 (01) :34-41
[26]   Big Data Anonymization with Spark [J].
Canbay, Yavuz ;
Sagiroglu, Seref .
2017 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK), 2017, :833-838
[27]   Design of Educational Big Data Application using Spark [J].
Lee, Min-Seon ;
Kim, Earl ;
Nam, Choon-Sung ;
Shin, Dong-Ryeol .
2017 19TH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATIONS TECHNOLOGY (ICACT) - OPENING NEW ERA OF SMART SOCIETY, 2017, :355-357
[28]   The analysis of big Data application mode and security risk [J].
Zeng Tai-sheng .
PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON INFORMATION SCIENCES, MACHINERY, MATERIALS AND ENERGY (ICISMME 2015), 2015, 126 :1835-1839
[29]   AN EFFECTIVE AND SCALABLE DATA MODELING FOR ENTERPRISE BIG DATA PLATFORM [J].
Patel, Jayesh .
2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2019, :2691-2697
[30]   Performance Comparison of Bitcoin Prediction in Big Data Environment (Spark Architecture and GPU Environment)) [J].
Purbarani, Sumarsih C. ;
Januiko, Wisnu .
2018 INTERNATIONAL WORKSHOP ON BIG DATA AND INFORMATION SECURITY (IWBIS), 2018, :99-106