Methodological Framework for Data Warehouse Design.
Matteo Golfarelli, Stefano Rizzi:
Methodological Framework for Data Warehouse Design.
DOLAP 1998: 3-9@inproceedings{DBLP:conf/dolap/GolfarelliR98,
author = {Matteo Golfarelli and
Stefano Rizzi},
title = {Methodological Framework for Data Warehouse Design},
booktitle = {DOLAP '98, ACM First International Workshop on Data Warehousing
and OLAP, November 7, 1998, Bethesda, Maryland, USA, Proceedings},
publisher = {ACM},
year = {1998},
pages = {3-9},
ee = {db/conf/dolap/GolfarelliR98.html, http://doi.acm.org/10.1145/294260.294261},
crossref = {DBLP:conf/dolap/98},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Abstract
Though designing a data warehouse requires techniques completely different
from those adopted for operational systems, no significant effort has been
made so far to develop a complete and consistent design methodology for data
warehouses. In this paper we outline a general methodological framework for
data warehouse design, based on our Dimensional Fact Model (DFM). After
analyzing the existing information system and collecting the user requirements,
conceptual design is carried out semi-automatically starting from the
operational database scheme. A workload is then characterized in terms of data
volumes and expected queries, to be used as the input of the logical and
physical design phases whose output is the final scheme for the data warehouse.
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