Service-oriented data quality engineering and data publishing in the cloud

Marco Comerio, Hong-Linh Truong, Carlo Batini, Schahram Dustdar
2010 2010 IEEE International Conference on Service-Oriented Computing and Applications (SOCA)  
Traditional data quality engineering techniques, often used and deployed within a single enterprise environment, are inadequate to cope with the rapid change of data, with a multitude of quality degrees, to be used in contemporary business models. The emerging cloud computing paradigm could potentially offer high-quality, composable data and techniques, under the Software-as-a-Service (SaaS), Data-asa-Service (DaaS) and crowdsourcing models, for data quality engineering and data publishing.
more » ... ver, so far how to utilize the potential of cloud computing models for data quality engineering has not been discussed. In this paper, we analyze requirements of data quality engineering and quality-aware data publishing processes in the cloud and we provide a conceptual architecture utilizing and supporting the SaaS, DaaS and crowdsourcing models for the realization of such processes.
doi:10.1109/soca.2010.5707184 dblp:conf/soca/ComerioTBD10 fatcat:lhhzejv37bajhevowmtkkleq5i