Title: Parallel generation of base relation snapshots for materialised view maintenance in data warehouse environment

Authors: Shin'ichirou Saeki, Subhash Bhalla, Masaki Hasegawa

Addresses: Graduate Department of Computer Systems, University of Aizu, Aizu-Wakamatsu, Fukushima, PO 965-8580, Japan. ' Graduate Department of Computer Systems, University of Aizu, Aizu-Wakamatsu, Fukushima, PO 965-8580, Japan. ' Graduate Department of Computer Systems, University of Aizu, Aizu-Wakamatsu, Fukushima, PO 965-8580, Japan

Abstract: A data warehouse organises and stores data needed for informational, analytical processing over a long historical time perspective. These keep a materialised view (such as historical data), and user queries are processed using this view. The view has to be maintained to reflect the updates done against the base relations stored at the various distributed data sources. For unsophisticated sources, in practice it is often necessary to infer modifications by periodically comparing snapshots and backup copies of data from the source. This study considers the materialised view and its maintenance. Various differential snapshot algorithms have been compared.

Keywords: data warehouse; long duration transactions; materialised views; view maintenance; data storage; source data; snapshots.

DOI: 10.1504/IJCSE.2007.015746

International Journal of Computational Science and Engineering, 2007 Vol.3 No.2, pp.166 - 172

Available online: 11 Nov 2007 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article