@inbook{6449b686c3684209b02c80cc5d97d6e6,
title = "Distributed spatial data warehouse",
abstract = "Data warehouses are used to store large amounts of data. A data model makes possible separating data categories and establishing relations between them. In this paper we introduce for the first time the new concept of distributed spatial data warehouse based on the multidimensional data model called cascaded star schema [1]. We decided to use the idea of new aggregation tree, that indexes our model in order to fully exploit capabilities of the cascaded star. After close discussion on the cascaded star schema and aggregation tree, we introduce the new idea of distributing data warehouse based on the cascaded star schema. Using Java we implemented both system running on a single computer as well as distributed system. Then we carried out the tests which results allow us to compare the performance of both systems. The tests results show that by distribution one may improve the performance of spatial data warehouse.",
author = "Marcin Gorawski and Rafal Malczok",
year = "2004",
doi = "10.1007/978-3-540-24669-5\_88",
language = "English",
isbn = "3540219463",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "676--681",
editor = "Roman Wyrzykowski and Jack Dongarra and Marcin Paprzycki and Jerzy Wasniewski",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Germany",
}