Please use this identifier to cite or link to this item: https://lib.hpu.edu.vn/handle/123456789/21178
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dc.contributor.authorTinnefeld, Christianen_US
dc.date.accessioned2016-06-10T08:32:23Z
dc.date.available2016-06-10T08:32:23Z
dc.date.issued2016en_US
dc.identifier.isbn978-3-319-20710-0en_US
dc.identifier.isbn978-3-319-20711-7en_US
dc.identifier.otherHPU1160125en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/21178-
dc.description.abstractThis book examines the field of parallel database management systems and illustrates the great variety of solutions based on a shared-storage or a shared-nothing architecture. Constantly dropping memory prices and the desire to operate with low-latency responses on large sets of data paved the way for main memory-based parallel database management systems. However, this area is currently dominated by the shared-nothing approach in order to preserve the in-memory performance advantage by processing data locally on each server.en_US
dc.format.extent139 p.en_US
dc.format.mimetypeapplication/pdf-
dc.language.isoenen_US
dc.publisherSpringer International Publishingen_US
dc.relation.ispartofseriesIn-Memory Data Management Researchen_US
dc.subjectIntelligent informationen_US
dc.subjectDatabase systemsen_US
dc.subjectDatabase managementen_US
dc.titleBuilding a columnar database on RAMCloud: Database design for the low-latency enabled data centeren_US
dc.typeBooken_US
dc.size3,432KBen_US
dc.departmentEnglish resourcesen_US
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