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Big Spatial Data on Hadoop and Beyond

Prof. Ahmed Eldawy, Department of Computer Science and Engineering, UCR
ABSTRACT –

The explosion in the amount of spatial data in the recent years urged researchers to build specialized systems for big spatial data. This talk will have two parts. In the first part, we describe SpatialHadoop, the most comprehensive open source system for big spatial data. We describe how SpatialHadoop managed to achieve simplicity and efficiency by injecting spatial data awareness in each layer of Hadoop, namely, language, indexing, query processing, and visualization. In the second part, we describe how the research efforts done in SpatialHadoop can be extended to other big data systems including Spark and Impala, to provide (1) dynamic indexes for big spatial data, (2) interactive visualization of big data, and (3) interactive SQL query execution for big spatial data.

Prof. Ahmed Eldawy

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