Dawes: Data Warehouse Fed With Web Services
John Samuel, Christophe Rey · HAL (Le Centre pour la Communication Scientifique Directe) · 2014
We present a prototype, called DaWeS, which is a Data Warehouse fed with Web Services. The main feature of DaWeS is to use a mediation approach (data integration without materialization) as the ETL tool (data extraction, transformation and loading). This approach enables to automate many steps of the ETL process, while facilitating human interventions by exclusively relying on declarative languages (datalog queries, SQL, XSD, XSLT). The context of this work consists of the mostly used (because the simplest) web services standards (HTML, HTTP, REST, XML, JSON), and not of the more complex but less used ones (SOAP, UDDI, WSDL, SA-WSDL, OWL-S, hRESTS). In terms of applications, the aim is to allow a DaWeS administrator to provide to small and medium companies a service to store and query their business data coming from their usage of third-party services, without having to manage their own warehouse. In particular, DaWeS enables the easy design of personalized performance indicators.