Developing Reliable Taxonomic Features for Data Warehouse Architectures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F20%3A00115621" target="_blank" >RIV/00216224:14330/20:00115621 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CBI49978.2020.00033" target="_blank" >http://dx.doi.org/10.1109/CBI49978.2020.00033</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CBI49978.2020.00033" target="_blank" >10.1109/CBI49978.2020.00033</a>
Alternative languages
Result language
angličtina
Original language name
Developing Reliable Taxonomic Features for Data Warehouse Architectures
Original language description
Since there is a large variety of data warehouse architectures with different structures and components, it is very difficult and time-consuming to systematically analyse them and obtain insights from those architectures. One effective way to understand those architectures is using a taxonomy to classify them. However, most of the taxonomic features are derived in an ad-hoc way and the reliability of those features is unknown. This paper therefore is to develop a set of reliable features by modeling different data warehouse architectures and further generate the structural knowledge represented by a taxonomy. This taxonomy is further validated by evaluating two real-world data warehouse architectures from IBM and Facebook.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 22nd IEEE International Conference on Business Informatics - CBI 2020
ISBN
9781728199269
ISSN
2378-1963
e-ISSN
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Number of pages
9
Pages from-to
241-249
Publisher name
IEEE
Place of publication
Antwerp, Belgium
Event location
Antwerp, Belgium
Event date
Jan 1, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000621582600026