Data warehouse evolution framework

Darja Solodovnikova

Data warehouse evolution framework

Darja Solodovnikova^*

^*Corresponding author for this work

Department of Computer Science

Research output: Contribution to journal › Conference article › peer-review

12 Citations (Scopus)

Abstract

In this paper a data warehouse framework that supports data warehouse evolution is presented. The framework is able to handle not only changes in data sources, but also direct changes in a data warehouse schema. In the framework the data warehouse versions are supported in the development environment as well as in reports in the user environment.

Original language	English
Journal	CEUR Workshop Proceedings
Volume	256
Publication status	Published - 2007
Event	4th Spring Young Researchers Colloquium on Databases and Information Systems, SYRCoDIS 2007 - Moscow, Russian Federation Duration: 31 May 2007 → 1 Jun 2007

Cite this

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title = "Data warehouse evolution framework",

abstract = "In this paper a data warehouse framework that supports data warehouse evolution is presented. The framework is able to handle not only changes in data sources, but also direct changes in a data warehouse schema. In the framework the data warehouse versions are supported in the development environment as well as in reports in the user environment.",

author = "Darja Solodovnikova",

year = "2007",

language = "English",

volume = "256",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

note = "4th Spring Young Researchers Colloquium on Databases and Information Systems, SYRCoDIS 2007 ; Conference date: 31-05-2007 Through 01-06-2007",

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TY - JOUR

T1 - Data warehouse evolution framework

AU - Solodovnikova, Darja

PY - 2007

Y1 - 2007

N2 - In this paper a data warehouse framework that supports data warehouse evolution is presented. The framework is able to handle not only changes in data sources, but also direct changes in a data warehouse schema. In the framework the data warehouse versions are supported in the development environment as well as in reports in the user environment.

AB - In this paper a data warehouse framework that supports data warehouse evolution is presented. The framework is able to handle not only changes in data sources, but also direct changes in a data warehouse schema. In the framework the data warehouse versions are supported in the development environment as well as in reports in the user environment.

UR - https://www.scopus.com/pages/publications/84873388198

M3 - Conference article

AN - SCOPUS:84873388198

SN - 1613-0073

VL - 256

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 4th Spring Young Researchers Colloquium on Databases and Information Systems, SYRCoDIS 2007

Y2 - 31 May 2007 through 1 June 2007

ER -

Data warehouse evolution framework

Abstract

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