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This paper discusses our ongoing research efforts in regards to processing multi-scale queries in service-oriented environments. A multi-scale query is a query over traditional datasets in conjunction with streaming data and that may involve spatio-temporal aspects. In a service-oriented environment, classic and streaming data are made available and processed through services, which we refer to as data providers. We present an approach based on applying service composition techniques to data providers along with traditional database operators, resulting in query evaluation plans which, complemented by optimization and adaptation mechanisms, will enable flexible query processing and data integration among a diverse range of data sources in dynamic environments.