dc.contributor.author |
Karayannidis, N |
en |
dc.contributor.author |
Sellis, T |
en |
dc.date.accessioned |
2014-03-01T02:49:06Z |
|
dc.date.available |
2014-03-01T02:49:06Z |
|
dc.date.issued |
2001 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/34296 |
|
dc.relation.uri |
http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-39/paper10.pdf |
en |
dc.subject |
Data Cube |
en |
dc.subject |
Data Model |
en |
dc.subject |
Database Management System |
en |
dc.subject |
Hierarchical Clustering |
en |
dc.subject |
Hierarchical Structure |
en |
dc.subject |
On Line Analytical Processing |
en |
dc.subject |
Storage Management |
en |
dc.title |
SISYPHUS: A Chunk-Based Storage Manager for OLAP Cubes |
en |
heal.type |
conferenceItem |
en |
heal.publicationDate |
2001 |
en |
heal.abstract |
In this paper, we present SISYPHUS, a storage manager for data cubes that provides an efficient physical base for performing OLAP operations. On-Line Analytical Processing (OLAP) poses new requirements to the physical storage layer of a database management system. Special characteristics of OLAP cubes such as multidimensionality, hierarchical structure of dimensions, data sparseness, etc., are difficult to handle with ordinary |
en |
heal.journalName |
Design and Management of Data Warehouses |
en |