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IPPS
2003
IEEE
14 years 3 months ago
Parallel ROLAP Data Cube Construction On Shared-Nothing Multiprocessors
The pre-computation of data cubes is critical to improving the response time of On-Line Analytical Processing (OLAP) systems and can be instrumental in accelerating data mining tas...
Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andre...
TKDE
2002
148views more  TKDE 2002»
13 years 9 months ago
Parallel Star Join + DataIndexes: Efficient Query Processing in Data Warehouses and OLAP
On-Line Analytical Processing (OLAP) refers to the technologies that allow users to efficiently retrieve data from the data warehouse for decision-support purposes. Data warehouses...
Anindya Datta, Debra E. VanderMeer, Krithi Ramamri...
SIGMOD
2004
ACM
151views Database» more  SIGMOD 2004»
14 years 10 months ago
Highly-Available, Fault-Tolerant, Parallel Dataflows
We present a technique that masks failures in a cluster to provide high availability and fault-tolerance for long-running, parallelized dataflows. We can use these dataflows to im...
Mehul A. Shah, Joseph M. Hellerstein, Eric A. Brew...
IDEAS
1999
IEEE
175views Database» more  IDEAS 1999»
14 years 2 months ago
A Parallel Scalable Infrastructure for OLAP and Data Mining
Decision support systems are important in leveraging information present in data warehouses in businesses like banking, insurance, retail and health-care among many others. The mu...
Sanjay Goil, Alok N. Choudhary
IPPS
1999
IEEE
14 years 2 months ago
Design and Implementation of a Scalable Parallel System for Multidimensional Analysis and OLAP
Multidimensional Analysis and On-Line Analytical Processing (OLAP) uses summary information that requires aggregate operations along one or more dimensions of numerical data value...
Sanjay Goil, Alok N. Choudhary