Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/18315
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dc.contributor.authorDAENEN, Jonny-
dc.contributor.authorNEVEN, Frank-
dc.contributor.authorTAN, Tony-
dc.date.accessioned2015-02-11T11:17:37Z-
dc.date.available2015-02-11T11:17:37Z-
dc.date.issued2015-
dc.identifier.citationExtending Database Technology, Brussels, 23-27 March 2015-
dc.identifier.urihttp://hdl.handle.net/1942/18315-
dc.description.abstractWe present Gumbo, a system for the efficient evaluation of guarded fragment queries on top of Hadoop and Spark. A key asset of Gumbo is the reduced number of jobs in comparison with recent systems such as Pig, Hive or Shark. For unnested guarded fragment queries, Gumbo even provides a constant bound on the number of jobs independent of the size of the query. In the demo, we will address the following features of Gumbo: ease-of-use, query plan construction and visualisation, and query execution.-
dc.description.sponsorshipFWO Pegasus Marie Curie Fellowship-
dc.language.isoen-
dc.rights© 2015, Copyright is with the authors. Published in Proc. 18th International Conference on Extending Database Technology (EDBT), March 23-27, 2015, Brussels, Belgium: ISBN 978-3-89318-067-7, on OpenProceedings.org. Distribution of this paper is permitted under the terms of the Creative Commons license CC-by-nc-nd 4.0-
dc.subject.otherMapReduce; Hadoop; Spark; Guarded-fragment Queries-
dc.titleGumbo: Guarded Fragment Queries over Big Data-
dc.typeConference Material-
local.bibliographicCitation.conferencedate2015, March 23-27-
local.bibliographicCitation.conferencenameExtending Database Technology-
local.bibliographicCitation.conferenceplaceBrussels-
local.format.pages4-
local.bibliographicCitation.jcatC2-
local.type.refereedRefereed-
local.type.specifiedConference Material-
item.accessRightsOpen Access-
item.fulltextWith Fulltext-
item.fullcitationDAENEN, Jonny; NEVEN, Frank & TAN, Tony (2015) Gumbo: Guarded Fragment Queries over Big Data. In: Extending Database Technology, Brussels, 23-27 March 2015.-
item.contributorDAENEN, Jonny-
item.contributorNEVEN, Frank-
item.contributorTAN, Tony-
Appears in Collections:Research publications
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