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Cleager: Eager Schema Evolution in NoSQL Document Stores

dc.contributor.authorScherzinger, Stefanie
dc.contributor.authorKlettke, Meike
dc.contributor.authorStörl, Uta
dc.contributor.editorSeidl, Thomas
dc.contributor.editorRitter, Norbert
dc.contributor.editorSchöning, Harald
dc.contributor.editorSattler, Kai-Uwe
dc.contributor.editorHärder, Theo
dc.contributor.editorFriedrich, Steffen
dc.contributor.editorWingerath, Wolfram
dc.date.accessioned2017-06-30T11:40:49Z
dc.date.available2017-06-30T11:40:49Z
dc.date.issued2015
dc.description.abstractSchema-less NoSQL data stores offer great flexibility in application development, particularly in the early stages of software design. Yet over time, software engineers struggle with the heavy burden of dealing with increasingly heterogeneous data. In this demo we present Cleager, a framework for eagerly managing schema evolution in schema-less NoSQL document stores. Cleager executes declarative schema modification operations as MapReduce jobs on the Google Cloud Platform. We present different scenarios that require data migration, such as adding, removing, or renaming properties of persisted objects, as well as copying and moving them between objects. Our audience can declare the required schema migration operations in the Cleager console, and then verify the results in real time.en
dc.identifier.isbn978-3-88579-635-0
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme für Business, Technologie und Web (BTW 2015)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-241
dc.titleCleager: Eager Schema Evolution in NoSQL Document Storesen
dc.typeText/Conference Paper
gi.citation.endPage662
gi.citation.publisherPlaceBonn
gi.citation.startPage659
gi.conference.date2.-3. März 2015
gi.conference.locationHamburg

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