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VLDB
2002
ACM
98views Database» more  VLDB 2002»
13 years 4 months ago
Processing Star Queries on Hierarchically-Clustered Fact Tables
Star queries are the most prevalent kind of queries in data warehousing, OLAP and business intelligence applications. Thus, there is an imperative need for efficiently processing ...
Nikos Karayannidis, Aris Tsois, Timos K. Sellis, R...
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
DMDW
2001
307views Management» more  DMDW 2001»
13 years 5 months ago
An Analysis of Many-to-Many Relationships Between Fact and Dimension Tables in Dimensional Modeling
Star schema, which maintains one-to-many relationships between dimensions and a fact table, is widely accepted as the most viable data representation for dimensional analysis. Rea...
Il-Yeol Song, William Rowen, Carl Medsker, Edward ...
DOLAP
1998
ACM
13 years 8 months ago
Dynamic Maintenance of Multidimensional Range Data Partitioning for Parallel Data Processing
Star schema has been a typical model for both online transaction processing in traditional databases and online analytical processing in large data warehouses. In the star schema,...
Junping Sun, William I. Grosky
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