Justintime Data Integration in Action
Source: VLDB Endowment
Today's data integration systems must be flexible enough to support the typical iterative and incremental process of integration, and may need to scale to hundreds of data sources. In this paper the authors present a novel data integration system that offers great flexibility and scalability. The approach to data integration is unique in that it executes mapping rules at query runtime using annotations. On top, they have built the People People People application. It allows users to search for people, display information about people, and browse through a network of related people, where the data is integrated from local and remote data sources.