With new approaches and the development of new methods in all areas of human endeavour we are facing an increasing amount of obtained data. The field of data analytics must adjust accordingly. In the Thesis, we propose a new architecture that allows interactive execution of data analytics in the cloud. The proposed solution combines two open source projects. Orange, the open source data mining suit, offers an intuitive graphical interface to create data analysis workflows. Resolwe is an open source dataflow package that fully supports execution of workflows in the cloud. We developed a prototype that combines the two systems and demonstrate that Resolwe is a viable solution for running Orange's data analysis workflows in the cloud. We point to the current limitations of proposed architecture and propose possible solutions that would eliminate them in the future.