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» Forgetting data intelligently in data warehouses
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EDBTW
2010
Springer
13 years 10 months ago
The benefits of the interaction between data warehouses and question answering
Business Intelligence (BI) applications allow their users to query, understand, and analyze existing data within their organizations in order to acquire useful knowledge, thus mak...
Antonio Ferrández, Jesús Peral
EDBT
2009
ACM
104views Database» more  EDBT 2009»
13 years 5 months ago
Fair, effective, efficient and differentiated scheduling in an enterprise data warehouse
A typical online Business Intelligence (BI) workload consists of a combination of short, less intensive queries, along with long, resource intensive queries. As such, the longest ...
Chetan Gupta, Abhay Mehta, Song Wang, Umeshwar Day...
DOLAP
2006
ACM
13 years 11 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
ICDE
2010
IEEE
408views Database» more  ICDE 2010»
14 years 2 months ago
Hive - a petabyte scale data warehouse using Hadoop
— The size of data sets being collected and analyzed in the industry for business intelligence is growing rapidly, making traditional warehousing solutions prohibitively expensiv...
Ashish Thusoo, Joydeep Sen Sarma, Namit Jain, Zhen...
VLDB
2007
ACM
119views Database» more  VLDB 2007»
14 years 7 months ago
Dynamic Workload Management for Very Large Data Warehouses: Juggling Feathers and Bowling Balls
Workload management for business intelligence (BI) queries poses different challenges than those addressed in the online transaction processing (OLTP) context. The fundamental pro...
Stefan Krompass, Umeshwar Dayal, Harumi A. Kuno, A...