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IDEAS
1999
IEEE
123views Database» more  IDEAS 1999»
13 years 8 months ago
Improving OLAP Performance by Multidimensional Hierarchical Clustering
Data-warehousing applications cope with enormous data sets in the range of Gigabytes and Terabytes. Queries usually either select a very small set of this data or perform aggregat...
Volker Markl, Frank Ramsak, Rudolf Bayer
DMDW
2001
106views Management» more  DMDW 2001»
13 years 5 months ago
SISYPHUS: A Chunk-Based Storage Manager for OLAP Cubes
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) ...
Nikos Karayannidis, Timos K. Sellis
DOLAP
2003
ACM
13 years 9 months ago
Exploiting hierarchical clustering in evaluating multidimensional aggregation queries
Multidimensional aggregation queries constitute the single most important class of queries for data warehousing applications and decision support systems. The bottleneck in the ev...
Dimitri Theodoratos
SIGMOD
2003
ACM
163views Database» more  SIGMOD 2003»
14 years 4 months ago
Multi-Dimensional Clustering: A New Data Layout Scheme in DB2
We describe the design and implementation of a new data layout scheme, called multi-dimensional clustering, in DB2 Universal Database Version 8. Many applications, e.g., OLAP and ...
Sriram Padmanabhan, Bishwaranjan Bhattacharjee, Ti...