Abstract
In today’s world, devices with various sensors are everywhere: cars, houses, watches, cellphones etc. All these devices produce a huge amount of cross-sectorial data, which is usually untapped and unused. On the one hand, it is a challenge to store and analyze this amount of data, but on the other hand it opens up a lot of opportunities as integrating all this data in a data market would make it possible for different actors to access the data for building services. However, such a possibility will require a middleware in which accessing actors have not only access to data but also to analytics services to make it transparent to the actors the complexity of the data and to comply with security and anonymity. This is what has motivated this thesis in which we aim to build analytics services, in two different ways: as libraries and as final, complete services. In particular, as part of this thesis, we face the development of a library for network analysis and a final service in a form of an API for trajectory mining. The difference between these two types of components have been examined and analyzed and the components have been successfully developed, tested and deployed.
