Nešet?il, KamilŠembera, JanGómez, Jorge MarxSonnenschein, MichaelVogel, UteWinter, AndreasRapp, BarbaraGiesen, Nils2019-09-162019-09-162014https://dl.gi.de/handle/20.500.12116/25742We have developed a system to manage groundwater data (geology, hydrology and geochemistry). The system is flexible, readily extensible and adaptable. It can load data in different formats. Loading and cleaning the data is performed by an ETL tool Pentaho Data Integration (aka. Kettle). The coordinates are converted by GeoKettle (spatial fork of Kettle). The database PostgreSQL uses our own data model. Groundwater specialists can visualize data in EnviroInsite desktop software. A non-specialist can visualize data in a web application. Non-point spatial data is stored in a spatial database (PostGIS) and served via a map server (GeoServer) as a map service to our web application or to any geographic information systems (GIS). We have successfully used tools for business intelligence and spatial data infrastructure.Text/Conference Paper