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Transformacijų šablonais grindžiamas duomenų saugyklos projektavimo procesas / Data warehouse building process based on data transformation templates

Growing amount of data and needs of data analysis starts needs of data warehouses. A lot of organizations operational data cumulates in OLTP DBMS databases. Organization historical data are cumulating in data warehouses. These data are adjusted for data analysis. DBMS ETL tools don’t have good data warehouse building opportunities. Created ETL tool for MS SQL Server makes data warehouse building process easier and speedier.

Identiferoai:union.ndltd.org:LABT_ETD/oai:elaba.lt:LT-eLABa-0001:E.02~2006~D_20060111_150231-71689
Date11 January 2006
CreatorsPaulavičiūtė, Kristina
ContributorsMaciulevičius, Stasys, Gudas, Saulius, Butleris, Rimantas, Bareiša, Eduardas, Kiauleikis, Valentinas, Nemuraitė, Lina, Lopata, Audrius, Stulpinas, Raimundas, Butkienė, Rita, Kaunas University of Technology
PublisherLithuanian Academic Libraries Network (LABT), Kaunas University of Technology
Source SetsLithuanian ETD submission system
LanguageLithuanian
Detected LanguageEnglish
TypeMaster thesis
Formatapplication/pdf
Sourcehttp://vddb.library.lt/obj/LT-eLABa-0001:E.02~2006~D_20060111_150231-71689
RightsUnrestricted

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