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IADIS
2009
13 years 2 months ago
A strategy for cost efficient distributed data storage for in-memory OLAP
With the availability of inexpensive blade servers featuring 32 GB or more of main memory, memory-based engines such as the SAP NetWeaver Business Warehouse Accelerator are coming...
Olga Mordvinova, Oleksandr Shepil, Thomas Ludwig 0...
TKDE
2002
148views more  TKDE 2002»
13 years 3 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...
CASCON
2001
148views Education» more  CASCON 2001»
13 years 5 months ago
A Pareto model for OLAP view size estimation
On Line Analytical Processing (OLAP) aims at gaining useful information quickly from large amounts of data residing in a data warehouse. To improve the quickness of response to qu...
Thomas P. Nadeau, Toby J. Teorey
HPDC
2010
IEEE
13 years 5 months ago
Distributing the power of OLAP
In this paper we present the Brown Dwarf, a distributed system designed to efficiently store, query and update multidimensional data over an unstructured Peer-to-Peer overlay, wit...
Katerina Doka, Dimitrios Tsoumakos, Nectarios Kozi...
SIGMOD
2008
ACM
158views Database» more  SIGMOD 2008»
14 years 4 months ago
Sampling cube: a framework for statistical olap over sampling data
Sampling is a popular method of data collection when it is impossible or too costly to reach the entire population. For example, television show ratings in the United States are g...
Xiaolei Li, Jiawei Han, Zhijun Yin, Jae-Gil Lee, Y...