Creation and Management of Versions in Multiversion Data Warehouses

Creation and Management of Versions in Multiversion Data Warehouses

Abstract

A data warehouse (DW) provides an information for analytical processing, decision making, and data mining tools. On the one hand, the structure and content of a data warehouse reflects a real world, i.e. data stored in a DW come from real production systems. On the other hand, a DW and its tools may be used for predicting trends and simulating a virtual business scenarios. This activity is often called the what-if analysis. Traditional DW systems have static structure of their schemas and relationships between data, and therefore they are not able to support any dynamics in their structure and content. For these purposes, multiversion data warehouses seem to be very promising. In this paper we present a concept and an ongoing implementation of a multiversion data warehouse that is capable of handling changes in the structure of its schema as well as simulating alternative business scenarios.

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Authors
  • Eder, Johann
  • Bebel, Bartosz
  • Koncilia, Christian
  • Morzy, Tadeusz
  • Wrembel, Robert
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  • © 2004 ACM Press (<a href='http://portal.acm.org/citation.cfm?doid=968049'>WWW</a>)
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Shortfacts
Category
Paper in Conference Proceedings or in Workshop Proceedings
Event Title
19th Annual ACM Symposium on Applied Computing (ACM SAC 2004)
Divisions
Workflow Systems and Technology
Event Location
Nicosia, Cyprus
Event Type
Conference
Event Dates
2004-03-14
Publisher
ACM Press
Page Range
pp. 717-723
Date
March 2004
Official URL
http://www.pri.univie.ac.at/Publications/2004/Eder...
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