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Design Scheme for Spatial Database of Climatic and Environmental Variables in Mexico, Integrating Big Data Technology
Author(s) -
Marcos Valdivia López,
Stéphane Couturier,
Katherine Michelle Barrera Barrera
Publication year - 2015
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2015.07.026
Subject(s) - computer science , scheme (mathematics) , big data , database , data science , data mining , mathematics , mathematical analysis
Big Data technology offers new and potentially more effective solutions to the continuing challenge of how large raster data sets may be effectively stored and retrieved. Big Data technology not only enables the integration of diverse information sources, but also supports the management and storage of large data sets. As such, it offers an alternative approach to existing spatial database technology. This paper proposes a design scheme that uses Big Data technology as a means to store for retrieval large volumes of raster data forming a spatial database of climatic and other environmental data for Mexico

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