- Tytuł:
- Heterogeneous Data Integration Architecture-Challenging Integration Issues
- Autorzy:
-
Chromiak, M.
Grabowiecki, M. - Powiązania:
- https://bibliotekanauki.pl/articles/106210.pdf
- Data publikacji:
- 2015
- Wydawca:
- Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
- Tematy:
-
grid integration model
heterogeneous integration
distributed architecture
data integration
big data
distributed transaction
warehouse
ETL
OLAP - Opis:
- As of today, most of the data processing systems have to deal with a large amount of data originated from numerous sources. Data sources almost always differ regarding its purpose of existence. Thus model, data processing engine and technology differ intensely. Due to current trend for systems fusion there is a growing demand for data to be present in a common way regardless of its legacy. Many systems have been devised as a response to such integration needs. However, the present data integration systems mostly are dedicated solutions that bring constraints and issues when considered in general. In this paper we will focus on the present solutions for data integration, their flaws originating from their architecture or design concepts and present an abstract and general approach that could be introduced as an response to existing issues. The system integration is considered out of scope for this paper, we will focus particularly on efficient data integration.
- Źródło:
-
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica; 2015, 15, 1; 7-11
1732-1360
2083-3628 - Pojawia się w:
- Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
- Dostawca treści:
- Biblioteka Nauki
Artykuł