The DWS (Data Warehouse Striping) technique is a data partitioning approach especially designed for distributed data warehousing environments. In DWS the fact tables are distribute...
Raquel Almeida, Jorge Vieira, Marco Vieira, Henriq...
Several surveys indicate that a significant percentage of data warehouses fail to meet business objectives or are outright failures. One of the reasons for this is that requireme...
Data allocation is a key performance factor for parallel database systems (PDBS). This holds especially for data warehousing environments where huge amounts of data and complex an...
The notion of Federated Data Warehouse Architecture was suggested for various reasons: bigger autonomy of divisions in an organization, better adaptation to user needs, bigger effi...
Data warehouses and recording systems typically have a large continuous stream of incoming data, that must be stored in a manner suitable for future access. Access to stored recor...
H. V. Jagadish, P. P. S. Narayan, S. Seshadri, S. ...
Data warehouses collect data into materialized views for analysis. After some time, some of the data may no longer be needed or may not be of interest. In this paper, we handle th...
Hector Garcia-Molina, Wilburt Labio, Jun Yang 0001
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...
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...
In many application scenarios the database is changing quite rapidly. Because the management of such data is rather expensive and cumbersome, many applications like data warehouse...
Data warehouse refreshment is often viewed as a problem of maintaining materialized views over operational sources. In this paper, we show that the data warehouse refreshment proc...
Athanasios Vavouras, Stella Gatziu, Klaus R. Dittr...