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Debugging large-scale data science pipelines using dagger

dc.contributor.authorRezig, El Kindi
dc.contributor.authorBrahmaroutu, Ashrita
dc.contributor.authorTatbul, Nesime
dc.contributor.authorOuzzani, Mourad
dc.contributor.authorTang, Nan
dc.contributor.authorMattson, Timothy
dc.contributor.authorMadden, Samuel
dc.contributor.authorStonebraker, Michael
dc.date.accessioned2021-10-27T19:58:24Z
dc.date.available2021-10-27T19:58:24Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/134157
dc.language.isoen
dc.publisherVLDB Endowment
dc.relation.isversionof10.14778/3415478.3415527
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs License
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceVLDB Endowment
dc.titleDebugging large-scale data science pipelines using dagger
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.relation.journalProceedings of the VLDB Endowment
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
eprint.statushttp://purl.org/eprint/status/NonPeerReviewed
dc.date.updated2021-01-29T18:20:39Z
dspace.orderedauthorsRezig, EK; Brahmaroutu, A; Tatbul, N; Ouzzani, M; Tang, N; Mattson, T; Madden, S; Stonebraker, M
dspace.date.submission2021-01-29T18:20:46Z
mit.journal.volume13
mit.journal.issue12
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


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