Interacting with Large Distributed Datasets Using Sketch

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dc.contributor.authorBudiu, Mihaien_US
dc.contributor.authorIsaacs, Rebeccaen_US
dc.contributor.authorMurray, Dereken_US
dc.contributor.authorPlotkin, Gordonen_US
dc.contributor.authorBarham, Paulen_US
dc.contributor.authorAl-Kiswany, Sameren_US
dc.contributor.authorBoshmaf, Yazanen_US
dc.contributor.authorLuo, Qingzhouen_US
dc.contributor.authorAndoni, Alexandren_US
dc.contributor.editorEnrico Gobbetti and Wes Bethelen_US
dc.date.accessioned2016-06-09T09:43:11Z
dc.date.available2016-06-09T09:43:11Z
dc.date.issued2016en_US
dc.description.abstractWe present Sketch, a library and a distributed runtime for building interactive tools for exploring large datasets, distributed across multiple machines. We have built several applications using Sketch; here we describe a billionrow spreadsheet, and a distributed-systems performance analyzer. Sketch applications allow interactive and responsive exploration of complex distributed datasets, scaling effectively to use large computational resources.en_US
dc.description.sectionheadersDistributionen_US
dc.description.seriesinformationEurographics Symposium on Parallel Graphics and Visualizationen_US
dc.identifier.doi10.2312/pgv.20161180en_US
dc.identifier.isbn978-3-03868-006-2en_US
dc.identifier.issn1727-348Xen_US
dc.identifier.pages31-43en_US
dc.identifier.urihttps://doi.org/10.2312/pgv.20161180en_US
dc.identifier.urihttps://diglib.eg.org:443/handle/10
dc.publisherThe Eurographics Associationen_US
dc.titleInteracting with Large Distributed Datasets Using Sketchen_US
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EGPGV16: Eurographics Symposium on Parallel Graphics and Visualization