Comparison of different software architectures for data integration

Abstract

As the result of continuous development and the emergence of new technologies in the field of information systems, the issues of data integration has introduced a lot of concern for the past decades. Using heterogeneous systems and applications to support variety of processes has become the current trend in the adoption of information technology by organizations. From a business point of view, most of the organizational business processes are interrelated in some way. As such, the systems which have been implemented by organizations to perform various and multiple operations, should be able to interact and exchange data seamlessly to maximise productivities. One of the most used approach in conducting data integration is through building a data center. The purpose of a data centre is to allow data exchange among different types of applications. The purpose of this paper is to conduct a systematic literature review, in order to compare different structures and technologies used by data centers, such as the structures and technologies for data integration access, distributed realtime union view, multi-agent's social, and service oriented architecture. The paper also reveals how the multilayer software architecture could increase the flexibility of a software and facilitate the integration post-processes for organizations.