DocumentCode
247150
Title
Challenges and Trends of Big Data Analytics
Author
Hui Li ; Xin Lu
Author_Institution
Inst. of Informatization State Inf. Center, Beijing, China
fYear
2014
fDate
8-10 Nov. 2014
Firstpage
566
Lastpage
567
Abstract
This article provides an overview of the challenges of big data, in the aspects of data scale, data heterogeneity, data timeliness, and demand for deep analyzing, in correspondence with four features of big data. It also presents an overview of trends of big data analytics both in theory and technique, with the development of testing benchmark, visualization technology, advanced and mixed architecture, and a series of developing, testing and managing tools, which will contribute to big data analytics with larger scale, more variety and velocity.
Keywords
Big Data; data analysis; big data analytics; data heterogeneity; data scale; data timeliness; development tools; management tools; testing benchmark development; testing tools; visualization technology; Big data; Biological system modeling; Computational modeling; Data visualization; Databases; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2014 Ninth International Conference on
Conference_Location
Guangdong
Type
conf
DOI
10.1109/3PGCIC.2014.136
Filename
7024647
Link To Document