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» Issues in Developing Very Large Data Warehouses
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DNIS
2010
Springer
184views Database» more  DNIS 2010»
13 years 11 months ago
A Study on Workload Imbalance Issues in Data Intensive Distributed Computing
In recent years, several frameworks have been developed for processing very large quantities of data on large clusters of commodity PCs. These frameworks have focused on fault-tole...
Sven Groot, Kazuo Goda, Masaru Kitsuregawa
DOLAP
2006
ACM
13 years 8 months ago
Building a web warehouse for accessibility data
As more and more information is available on the web, it is a problem that many web resources are not accessible, i.e., are not usable for users with special needs. For example, f...
Christian Thomsen, Torben Bach Pedersen
SIGMOD
2010
ACM
310views Database» more  SIGMOD 2010»
13 years 9 months ago
The DataPath system: a data-centric analytic processing engine for large data warehouses
Since the 1970’s, database systems have been “compute-centric”. When a computation needs the data, it requests the data, and the data are pulled through the system. We belie...
Subi Arumugam, Alin Dobra, Christopher M. Jermaine...
DEXA
1998
Springer
179views Database» more  DEXA 1998»
13 years 9 months ago
Concurrent Warehouse Maintenance Without Compromising Session Consistency
Abstract. To achieve acceptable query response times in data warehouse environments, the data have to be pre-aggregated according to the need of the applications and stored redunda...
Michael Teschke, Achim Ulbrich
SSDBM
2000
IEEE
168views Database» more  SSDBM 2000»
13 years 8 months ago
pCube: Update-Efficient Online Aggregation with Progressive Feedback and Error Bounds
Multidimensional data cubes are used in large data warehouses as a tool for online aggregation of information. As the number of dimensions increases, supporting efficient queries ...
Mirek Riedewald, Divyakant Agrawal, Amr El Abbadi