Abstract: In this paper we address the problem of supporting data-driven science in geo-scientific application domains where scientists need to filter, ...
Abstract: In this paper we address the problem of supporting data-driven science in geo-scientific application domains where scientists need to filter, ...
Rethinking Spatial Processing in Data-Intensive Science. Work. HTML. Year: 2015. Type: article. Source: BTW Workshops. Authors Christian Authmann, Christian ...
In this paper we address the problem of supporting data-driven science in geo-scientific application domains where scientists need to filter, analyze, ...
In this paper we address the problem of supporting data-driven science in geo-scientific application domains where scientists need to filter, analyze, ...
In this paper, we describe ADAM, an example genomics pipeline that leverages the open-source Apache Spark and Parquet systems to achieve a 28x speedup.
VAT: a system for visualizing, analyzing and transforming spatial data in science ... Rethinking spatial processing in data-intensive science. C Authmann, C ...
Jun 8, 2024 · We can attack the problem caused by exponential data growth by applying horizontally scalable techniques from current analytics systems to ...
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In this paper, we demonstrate ADAM [33], a genomic data processing system built using Apache Avro, Parquet, and. Spark [3, 4, 59], that achieves a 28× increase ...
This paper revisited the research progress in the field of spatial optimization, covering its characteristics, modeling approaches, solving methods, and ...
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