Privacy-Conscious Data Mashup

Abstract

Modern enterprises across all spectra are increasingly adopting SOA-based data integration architectures to rapidly respond to transient data business needs. In this chapter, the authors analyze a new class of enterprise data integration application, called Data Mashup, in which data services are composed on the fly to answer new data business demands. The chapter reviews the different approaches to data mashup, discusses their limitations, and identifies the main requirements to data mashup. The authors next propose a declarative data mashup approach addressing the identified requirements. Finally, the chapter presents some research directions that must be followed in order for data mashup technology to mature.