Heterogeneous Data Integration Architecture-Challenging Integration Issues

• Autorzy: Chromiak M. , Grabowiecki M.

Identyfikatory

DOI

10.1515/umcsinfo-2015-0001

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

grid integration model; heterogeneous integration; distributed architecture; data integration; big data; distributed transaction; warehouse; ETL; OLAP

• Wydawca: Wydawnictwo UMCS
• Czasopismo: Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
• Rocznik: 2015
• Tom: Vol. 15, no. 1
• Strony: 7--11
• Opis fizyczny: Bibliogr. 27 poz., rys.

Twórcy

autor

Chromiak M.

• Institute of Computer Science, Maria Curie-Sklodowska University, pl. M. Curie-Sklodowskiej 5, 20-031 Lublin, Poland

autor

Grabowiecki M.

Bibliografia

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