Abstract
The evolution of networks and large scale information systems has led to the rise of data sources that are distributed, heterogeneous, and autonomous. As a result, the management of Master Data becomes more complex and of uncertain quality. This paper presents a novel message-based approach to the synchronization of Master Data among multiple autonomous information systems. Different than traditional approaches based on database triggers, the author adopts the optimistic bidirectional strategy with the process of two synchronization phases. By means of data service buses, it propagates synchronized Master Data through messages being passed along star-like cascading routes. Moreover, this approach could resolve possible data conflicts automatically using predefined attribute confidences and deducible current value confidences respectively. Finally, this paper presents the real case about synchronizing datasets among four separate but related systems based on the author’s novel message-based approach.
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