Faculty Publications
Using A Cloud Computing Environment To Process Large 3D Spatial Datasets
Document Type
Article
Journal/Book/Conference Title
Big Data: Techniques and Technologies in Geoinformatics
First Page
55
Last Page
68
Abstract
Big data is a term in widespread use and refers to datasets that have grown so large that they become difficult to store, manage, share, analyze, and visualize using typical database software tools (White, 2012). According to IBM (2012), big data span four dimensions: volume (data quantity), velocity (real-time processing), variety (multiple sources), and veracity (data accuracy). The tremendous growth of big data during the last few decades is largely a consequence of the increased capacity and plummeting costs associated with computing and information technology.
Department
Department of Geography
Original Publication Date
1-1-2014
DOI of published version
10.1201/b16524
Recommended Citation
Sugumaran, Ramanathan; Burnett, Jeffrey; and Armstrong, Marc P., "Using A Cloud Computing Environment To Process Large 3D Spatial Datasets" (2014). Faculty Publications. 1419.
https://scholarworks.uni.edu/facpub/1419