In this work, we present a Metadata Framework in the direction of extending intelligence mechanisms from the Cloud to the Edge. To this end, we build on our previously introduced notion of Data Lagoons-the analogous to Data Lakes at the network edge-and we introduce a novel architecture and Metadata model for the efficient interaction between Data Lagoons and Data Lakes. We identify the service and data planes of our architecture and we illustrate the application of our framework on a use case from the TPCx-IoT benchmark. To our knowledge, our approach is the first one to examine the integration of Data Lakes with Edge components, taking under consideration data and infrastructure resources of Edge Nodes.
