Lindemann, ThomasBrinkmann, PatrickDalbah, FadiHakert, ChristianHonysz, Philipp-JanMatuszczyk, DanielMüller, NikolasSchmulbach, AlexanderTodorinski, Stefan PetyovTüselmann, OliverWonsak, ShimonTeubner, JensGrust, TorstenNaumann, FelixBöhm, AlexanderLehner, WolfgangHärder, TheoRahm, ErhardHeuer, AndreasKlettke, MeikeMeyer, Holger2019-04-112019-04-112019978-3-88579-683-1https://dl.gi.de/handle/20.500.12116/21728Modern 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.endata analysisbig datadatabasedistributed computingmodern hardwareMAGPIE: A Scalable Data Storage System for Efficient High Volume Data Queries10.18420/btw2019-411617-5468