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MAGPIE: A Scalable Data Storage System for Efficient High Volume Data Queries

dc.contributor.authorLindemann, Thomas
dc.contributor.authorBrinkmann, Patrick
dc.contributor.authorDalbah, Fadi
dc.contributor.authorHakert, Christian
dc.contributor.authorHonysz, Philipp-Jan
dc.contributor.authorMatuszczyk, Daniel
dc.contributor.authorMüller, Nikolas
dc.contributor.authorSchmulbach, Alexander
dc.contributor.authorTodorinski, Stefan Petyov
dc.contributor.authorTüselmann, Oliver
dc.contributor.authorWonsak, Shimon
dc.contributor.authorTeubner, Jens
dc.contributor.editorGrust, Torsten
dc.contributor.editorNaumann, Felix
dc.contributor.editorBöhm, Alexander
dc.contributor.editorLehner, Wolfgang
dc.contributor.editorHärder, Theo
dc.contributor.editorRahm, Erhard
dc.contributor.editorHeuer, Andreas
dc.contributor.editorKlettke, Meike
dc.contributor.editorMeyer, Holger
dc.date.accessioned2019-04-11T07:21:33Z
dc.date.available2019-04-11T07:21:33Z
dc.date.issued2019
dc.identifier.isbn978-3-88579-683-1
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/21728
dc.description.abstractModern challenges in huge sized data storage and querying require new approaches in the field of data storage systems. With MAGPIE, we are introducing a hardware-software-co-design, which is efficient in querying data by distributed storage with storage-near pre-processing and designed to be scalable up to large dimensions.en
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofBTW 2019
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) – Proceedings, Volume P-289
dc.subjectdata analysis
dc.subjectbig data
dc.subjectdatabase
dc.subjectdistributed computing
dc.subjectmodern hardware
dc.titleMAGPIE: A Scalable Data Storage System for Efficient High Volume Data Queriesen
mci.reference.pages543-546
mci.conference.sessiontitleDemonstrationen
mci.conference.locationRostock
mci.conference.date4.-8. März 2019
dc.identifier.doi10.18420/btw2019-41


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