Analysis of Data Warehouse Architectures: Modeling and Classification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F19%3A00109110" target="_blank" >RIV/00216224:14330/19:00109110 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5220/0007728006040611" target="_blank" >http://dx.doi.org/10.5220/0007728006040611</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0007728006040611" target="_blank" >10.5220/0007728006040611</a>
Alternative languages
Result language
angličtina
Original language name
Analysis of Data Warehouse Architectures: Modeling and Classification
Original language description
With decades of development and innovation, data warehouses and their architectures have been extended to a variety of derivatives in various environments to achieve different organisations’ requirements. Although there are some ad-hoc studies on data warehouse architecture (DWHA) investigations and classifications, limited research is relevant to systematically model and classify DWHAs. Especially in the big data era, data is generated explosively. More emerging architectures and technologies are leveraged to manipulate and manage big data in this domain. It is therefore valuable to revisit and investigate DWHAs with new innovations. In this paper, we collect 116 publications and model 73 disparate DWHAs using Archimate, then 9 representative DWHAs are identified and summarised into a”big picture”. Furthermore, it proposes a new classification model sticking to state-of-the-art DWHAs. This model can guide researchers and practitioners to identify, analyse and compare differences and trends of DWHAs from componental and architectural perspectives.
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
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
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 21st International Conference on Enterprise Information Systems
ISBN
9789897583728
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
604-611
Publisher name
SciTePress
Place of publication
Crete, Greece
Event location
Crete, Greece
Event date
Jan 1, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000570422800062