A data service (i.e., DaaS service) provides a simplified, integrated view of real-time, high-quality information about a specific business entity, such as a customer or product. It can be provided by middleware or packaged as an individual software component. The information that it provides comes from a diverse set of information resources, including operational systems, operational data stores, data warehouses, content repositories, collaboration stores, and even streaming sources in advanced cases.
Published in Chapter:
Privacy-Conscious Data Mashup: Concepts, Challenges and Directions
Mahmoud Barhamgi (Claude Bernard Lyon 1 University, France), Chirine Ghedira (Claude Bernard Lyon 1 University, France), Salah-Eddine Tbahriti (Claude Bernard Lyon 1 University, France), Michael Mrissa (Claude Bernard Lyon 1 University, France), Djamal Benslimane (Claude Bernard Lyon 1 University, France), and Brahim Medjahed (University of Michigan-Dearborn, USA)
Copyright: © 2012
|Pages: 23
DOI: 10.4018/978-1-4666-0146-8.ch016
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.