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SIGMOD
2010
ACM
598views Database» more  SIGMOD 2010»
15 years 2 months ago
Ricardo: integrating R and Hadoop
Many modern enterprises are collecting data at the most detailed level possible, creating data repositories ranging from terabytes to petabytes in size. The ability to apply sophi...
Sudipto Das, Yannis Sismanis, Kevin S. Beyer, Rain...
ICDT
2001
ACM
147views Database» more  ICDT 2001»
15 years 2 months ago
Parallelizing the Data Cube
This paper presents a general methodology for the efficient parallelization of existing data cube construction algorithms. We describe two different partitioning strategies, one f...
Frank K. H. A. Dehne, Todd Eavis, Susanne E. Hambr...
VLDB
2001
ACM
66views Database» more  VLDB 2001»
15 years 2 months ago
An Evaluation of Generic Bulk Loading Techniques
Bulk loading refers to the process of creating an index from scratch for a given data set. This problem is well understood for B-trees, but so far, non-traditional index structure...
Jochen Van den Bercken, Bernhard Seeger
DEXA
2000
Springer
132views Database» more  DEXA 2000»
15 years 2 months ago
Improving the Performance of High-Energy Physics Analysis through Bitmap Indices
Abstract. Bitmap indices are popular multi-dimensional data structures for accessing read-mostly data such as data warehouse (DW) applications, decision support systems (DSS) and o...
Kurt Stockinger, Dirk Düllmann, Wolfgang Hosc...
SIGMOD
1997
ACM
107views Database» more  SIGMOD 1997»
15 years 2 months ago
Range Queries in OLAP Data Cubes
A range query applies an aggregation operation over all selected cells of an OLAP data cube where the selection is speci ed by providing ranges of values for numeric dimensions. W...
Ching-Tien Ho, Rakesh Agrawal, Nimrod Megiddo, Ram...