Automating the Provisioning and Integration of Analytics Tools with Data Resources in Industrial Environments Using OpenTOSCA

Abstract

The fourth industrial revolution is driven by the integration and analysis of a vast amount of diverse data. Thereby, data about production steps, overall manufacturing processes, and also supporting processes is gathered to enable holistic analysis approaches. These approaches promise to provide new insights and knowledge by revealing cost saving possibilities and also automated adjustments of production processes. However, such scenarios typically require analytics services and data integration stacks since algorithms have to be developed, executed and therefore be wired with the data to be processed. This leads to complex setups of overall analytics environments that have to be installed, configured and managed according to the needs of different analysis scenarios and setups. The manual execution of such installations is time-consuming and error-prone. Therefore, we demonstrate how the different components of such combined integration and analytics scenarios can be modelled in order to be reused in different settings, while enabling the fully automated provisioning of overall analytics stacks and services.