Science & Technology Review
|
2017, 35(20): 126-133
• Special lssues •
Open source big data framework in marine information processing
Full
FAN Luyao1, ZHANG Jing1, CHEN Xiaolong2, LIU Chi1
Affiliations
1. School of Software, Beijing Institute of Technology, Beijing 100081, China;
2. Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China
Published: 2017-10-28
doi: 10.3981/j.issn.1000-7857.2017.20.014
Outline
With the rapid development of China's sea observation technologies and data collection methods, we have an ever expanding amount of observed data with more and more complexity. Therefore, the traditional data storage and processing techniques cannot effectively manage and analyze the big ocean data. Meanwhile, the regionalization and the distribution of these data become an challenge for a unified data management, during the data mining process. From the perspective of the big data life cycle, this paper reviews the technical principles of the existing open source big data framework in areas of data acquisition, storage, processing, intelligent analysis, security protection and data governance, focusing on their applications for the big ocean data.
open source
/
big data framework
/
marine information processing
樊路遥, 张晶, 陈小龙, 刘驰.
开源大数据框架在海洋信息处理中的应用.
科技导报,
2017
, 35
(20)
: 126
-133
.
DOI: 10.3981/j.issn.1000-7857.2017.20.014
FAN Luyao, ZHANG Jing, CHEN Xiaolong, LIU Chi.
Open source big data framework in marine information processing[J].
Science & Technology Review,
2017
, 35
(20)
: 126
-133
.
DOI: 10.3981/j.issn.1000-7857.2017.20.014
Year 2017 volume 35 Issue 20
PDF
506
89
Cite this Article
BibTeX
Article Info
doi: 10.3981/j.issn.1000-7857.2017.20.014
- Receive Date:2017-09-25
- Online Date:2017-10-31
- Published:2017-10-28