More and more of our customers have to deal with very large datasets like elevation data and digital roadmaps covering Europe or even the entire world, very large images e.g. from satellites or CT-Scans both medical and industrial. In this paper we describe how we tried to solve the problems of storing and especially of accessing those large datasets by developing LadMan, a Large Data Management System. We will explain LadMan's design and architecture, we will give a short overview of LadMan's API and will look at the implementation of LadMan as an important part of RUVIS, a Broadcasting Planning and Visualization System developed for German Telekom by VISTEC Software GmbH.

More and more of our customers have to deal with very large datasets like elevation data and digital roadmaps covering Europe or even the entire world, very large images e.g. from satellites or CT-Scans both medical and industrial. In this paper we describe how we tried to solve the problems of storing and especially of accessing those large datasets by developing LadMan, a Large Data Management System. We will explain LadMans's design and architecture, we will give a short overview of LadMan's API and will look at the implementation of LadMan as an important part of RUVIS, a Broadcasting Planning and Visualization System developed for Deutsche Telekom by VISTEC Software GmbH.