Distributed Execution of Spatial SQL Queries

Konstantinos Giannousis
Konstantinos Giannousis
Nikolaos Karalis
Nikolaos Karalis

BigData, pp. 528-533, 2018.

Cited by: 1|Bibtex|Views13|DOI:https://doi.org/10.1109/BigData.2018.8621908
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

The volume of available spatial data that is generated and collected has significantly increased in the last few years. A number of applications based on Map-Reduce-like systems and cloud infrastructure have emerged. These applications offer a variety of features, however they differ in terms of spatial functions, partitioning and indexin...More

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