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» Issues in Developing Very Large Data Warehouses
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VLDB
1998
ACM
94views Database» more  VLDB 1998»
13 years 7 months ago
Issues in Developing Very Large Data Warehouses
The size of The Boeing Company posts some stringent requirements on data warehouse design and implementation. We summarize four interesting and challenging issues in developing ve...
Lyman Do, Pamela Drew, Wei Jin, Vish Jumani, David...
VLDB
1999
ACM
159views Database» more  VLDB 1999»
13 years 7 months ago
Aggregation Algorithms for Very Large Compressed Data Warehouses
Many efficient algorithms to compute multidimensional aggregation and Cube for relational OLAP have been developed. However, to our knowledge, there is nothing to date in the lite...
Jianzhong Li, Doron Rotem, Jaideep Srivastava
VLDB
2007
ACM
119views Database» more  VLDB 2007»
14 years 3 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...
DMDW
2001
162views Management» more  DMDW 2001»
13 years 5 months ago
A Data Warehouse Architecture for Meteo Swiss: An Experience Report
In this experience report we consider some issues in the development of a data warehouse for meteorological and climatology data at MeteoSwiss. The paper describes the meteorologi...
Christian Häberli, Dimitris Tombros
SIGMOD
2005
ACM
111views Database» more  SIGMOD 2005»
14 years 3 months ago
Efficient Computation of Multiple Group By Queries
Data analysts need to understand the quality of data in the warehouse. This is often done by issuing many Group By queries on the sets of columns of interest. Since the volume of ...
Zhimin Chen, Vivek R. Narasayya