Integrated platform for heterogeneous big data analysis

Track 1 Data Analytics
17:0013/11/2020

The setup of a performant Spatial Data Infrastructure to work with heterogeneous big data is a common requirement to solve. A unique platform that can integrate different data types (raster, vector, table data, timeseries) and provide web services for data discovery, visualization and processing is not easy to find in the open source community or it could result a very expensive commercial product to buy. In the DPS4ESLAB project (http://www.eurac.edu/en/research/technologies/CenterforSensingSolutions/projects/Pages/Data-Platform-and-Sensing-Technologies-for-Environmental-Sensing-LAB.aspx) we are setting up, for our Institute and partners, a web platform to solve all these issues using open source components and integrating them by the openEO (https://openeo.org/) API. Furthermore, the development of a Graphical User Interface will provide an easy access to the datasets and services to better focus on the analysis.