Implementing data cubes efficiently
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
An overview of data warehousing and OLAP technology
ACM SIGMOD Record
A general framework for the view selection problem for data warehouse design and evolution
Proceedings of the 3rd ACM international workshop on Data warehousing and OLAP
Distributed Data Warehousing Using Web Technology: How to Build a More Cost-Effective and Flexible Warehouse
Materialized View Selection for Multidimensional Datasets
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Applying Vertical Fragmentation Techniques in Logical Design of Multidimensional Databases
DaWaK 2000 Proceedings of the Second International Conference on Data Warehousing and Knowledge Discovery
A Case for Parallelism in Data Warehousing and OLAP
DEXA '98 Proceedings of the 9th International Workshop on Database and Expert Systems Applications
Horizontal fragmentation as a technique to improve the performance of drill-down and roll-up queries
Proceedings of the 2007 ACM symposium on Applied computing
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The WebD2W system is a distributed client-server data warehousing environment, which is aimed not only at the data warehouse distribution, but also at the distributed access to these data using the Web technology as an infrastructure. In this paper, we introduce the WebD2W system, focusing on one of its main objectives: the data warehouse distribution. Such a system is presented in terms of its main components and their respective functionalities. The paper also describes the algorithm for fragmenting horizontally the warehouse data, which is used as a basis for the WebD2W system.