@inproceedings{4ccc3d6a5eb6434f8ad28517551ff325,
title = "Maintaining materialized views for data warehouses with multiple remote sources",
abstract = "A data warehouse is a data repository which collects and maintains a large amount of data from multiple distributed, autonomous and possibly heterogeneous data sources. Often the data is stored in the form of materialized views in order to provide fast access to the integrated data. However, to maintain the data in the warehouse consistent with the source data is a challenging task in a multiple remote source environment. Transactions containing multiple updates at one or more sources further complicate the consistency issue. In this paper we first consider improving the refresh time of select-project-join (SPJ) type materialized views in a data warehouse by presenting a frequency-partitioned based algorithm, which takes into account the source update frequencies and the total space for auxiliary data. We then propose a solution in the design of data warehouses which can handle a variety of materialized views with different refreshment requirements.",
author = "Weifa Liang and Chris Johnson and Yu, {Jeffrey X.}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2000.; 1st International Conference on Web-Age Information Management, WAIM 2000 ; Conference date: 21-06-2000 Through 23-06-2000",
year = "2000",
doi = "10.1007/3-540-45151-x_29",
language = "English",
isbn = "9783540676270",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "299--311",
editor = "Hongjun Lu and Aoying Zhou",
booktitle = "Web-Age Information Management - 1st International Conference, WAIM 2000, Proceedings",
address = "Germany",
}