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dc.contributor.authorSchildgen, Johannes
dc.contributor.authorKrück, Yannick
dc.contributor.authorDeßloch, Stefan
dc.contributor.editorMitschang, Bernhard
dc.contributor.editorNicklas, Daniela
dc.contributor.editorLeymann, Frank
dc.contributor.editorSchöning, Harald
dc.contributor.editorHerschel, Melanie
dc.contributor.editorTeubner, Jens
dc.contributor.editorHärder, Theo
dc.contributor.editorKopp, Oliver
dc.contributor.editorWieland, Matthias
dc.date.accessioned2017-06-20T20:24:54Z
dc.date.available2017-06-20T20:24:54Z
dc.date.issued2017
dc.identifier.isbn978-3-88579-659-6
dc.identifier.issn1617-5468
dc.description.abstractPolyglot-persistence applications use a combination of many di erent data stores. Often, one of them is a graph database to model relationships between data items. The data-transformation language NotaQL can be used to define transformations from one NoSQL database to a di erent one. In this paper, we present a language extension for NotaQL to allow graph transformations, graph analysis, and data migrations on graph databases. NotaQL is schema-flexible, it o ers filters and aggregation functions, and it allows for graph traversal and edge creation. Our graph-transformation platform can be used for iterative graph algorithms and bulk processing.en
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofDatenbanksysteme für Business, Technologie und Web (BTW 2017)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-265
dc.subjectData Transformation Language
dc.subjectGraph Databases
dc.subjectNoSQL
dc.titleTransformations on Graph Databases for Polyglot Persistence with NotaQLen
dc.typeText/Conference Paper
mci.reference.pages83-102
mci.conference.sessiontitleBig Data and NoSQL
mci.conference.locationStuttgart
mci.conference.date6.-10. März 2017


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