Identifying Data Sources for Data Warehouses

Autor:	Heinz Pozewaunig, Christian Koncilia
Rok vydání:	2002
Předmět:	Structure (mathematical logic) business.industry Computer science Dimensional modeling computer.software_genre Data structure Data science Data warehouse Data modeling Data model Data quality Computer data storage Data mining business computer
Zdroj:	Intelligent Data Engineering and Automated Learning — IDEAL 2002 ISBN: 9783540440253 IDEAL
DOI:	10.1007/3-540-45675-9_35
Popis:	In order to establish a useful data warehouse, it must be correct and consistent. Hence, when selecting the data sources for building the data warehouse, it is essential know exactly about the concept and structure of all possible data sources and the dependencies between them. In a perfect world, this knowledge stems from an integrated, enterprize-wide data model. However, the reality is different and often an explicit model is not available.This paper proposes an approach for identifying data sources for a data warehouse, even without having detailed knowledge about interdependencies of data sources. Furthermore, we are able to confine the number of potential data sources. Hence, our approach reduces the time needed to build and maintain a data warehouse and it increases the data quality of the data warehouse.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0613476fe7e65e413cc740ee068211c3 https://doi.org/10.1007/3-540-45675-9_35 Zobrazit plný text záznamu