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Journal of computing and information technology, Vol. 20 No. 2, 2012.

Izvorni znanstveni članak
https://doi.org/10.2498/cit.1002046

An ETL Metadata Model for Data Warehousing

Nayem Rahman ; Intel Corporation
Jessica Marz ; Intel Corporation, USA
Shameem Akhter ; Western Oregon University, USA

Puni tekst: engleski, PDF (3 MB) str. 95-111 preuzimanja: 5.087* citiraj
APA 6th Edition
Rahman, N., Marz, J. i Akhter, S. (2012). An ETL Metadata Model for Data Warehousing. Journal of computing and information technology, 20 (2), 95-111. https://doi.org/10.2498/cit.1002046
MLA 8th Edition
Rahman, Nayem, et al. "An ETL Metadata Model for Data Warehousing." Journal of computing and information technology, vol. 20, br. 2, 2012, str. 95-111. https://doi.org/10.2498/cit.1002046. Citirano 19.01.2021.
Chicago 17th Edition
Rahman, Nayem, Jessica Marz i Shameem Akhter. "An ETL Metadata Model for Data Warehousing." Journal of computing and information technology 20, br. 2 (2012): 95-111. https://doi.org/10.2498/cit.1002046
Harvard
Rahman, N., Marz, J., i Akhter, S. (2012). 'An ETL Metadata Model for Data Warehousing', Journal of computing and information technology, 20(2), str. 95-111. https://doi.org/10.2498/cit.1002046
Vancouver
Rahman N, Marz J, Akhter S. An ETL Metadata Model for Data Warehousing. Journal of computing and information technology [Internet]. 2012 [pristupljeno 19.01.2021.];20(2):95-111. https://doi.org/10.2498/cit.1002046
IEEE
N. Rahman, J. Marz i S. Akhter, "An ETL Metadata Model for Data Warehousing", Journal of computing and information technology, vol.20, br. 2, str. 95-111, 2012. [Online]. https://doi.org/10.2498/cit.1002046

Sažetak
Metadata is essential for understanding information stored in data warehouses. It helps increase levels of adoption and usage of data warehouse data by knowledge workers and decision makers. A metadata model is important to the implementation of a data warehouse; the lack of a metadata model can lead to quality concerns about the data warehouse. A highly successful data warehouse implementation depends on consistent metadata. This article proposes adoption of an ETL (extracttransform-load) metadata model for the data warehouse that makes subject area refreshes metadata-driven, loads observation timestamps and other useful parameters, and minimizes consumption of database systems resources. The ETL metadata model provides developers with a set of ETL development tools and delivers a user-friendly batch cycle refresh monitoring tool for the production support team.

Ključne riječi
ETL metadata; metadata model; data warehouse; EDW; observation timestamp

Hrčak ID: 85081

URI
https://hrcak.srce.hr/85081

Posjeta: 5.524 *