The JValue Project

Making open data safe, easy, and reliable to use

Tag: JValue Open Data Service

  • Final Thesis: Applying Event-Driven Architecture to the JValue ODS

    Abstract: In a world of “Big Data” and data transparency “open data” might not be considered as an unknown term anymore. As the name suggests, it describes data, that is commonly available and free to use for everyone. The vision of the software “JValue Open Data Service (ODS)” is to provide a solid solution for the…

  • Final Thesis: Design und Implementierung eines Konzepts zur Live-Konfiguration

    Abstract: Nowadays a variety of systems generate and handle more and more data. This data is often presented in different formats and has to be retrieved from various locations. The Open Data Service (ODS) presents a system to conquer those tasks. The ODS allows the definition of data manipulation pipelines to process and convert data. Those…

  • Final Thesis: Development of a Microservice for Open Weather Data

    Abstract: Since mid 2017 the Deutscher Wetterdienst (DWD) has been obligated to provide its weather data to the public for free. However, anyone who wants to access it needs to click through a file system hoping to still be on the right path to the desired weather data. Due to confusing folder names this turns into…

  • Final Thesis: Migration the JValue ODS to Microservices

    Abstract: “A world in which consuming open data is easy and safe.“ This is the vision of the JValue Open Data Service (ODS) that aims to bundle finding the right open data, using and combining it into an easy and intuitive process. The daily life of developers should be free from hardships, like writing data crawlers…

  • Final Thesis: Implementation of a Web-UI for a Guided Configuration Workflow

    Abstract: Open Data has a huge potential, but due to its often poor quality and inconsistency most of this data can’t be used, at least not without a lot of effort. Here the Open Data Service is bringing remedy, because this tool can homogenize such data structures. Still, because the data has such great variety, the complexity…

  • Final Thesis: Design and Implementation of a RESTful API for Heterogeneous Data (in German)

    Abstract: Public institutions produce large amounts of publicly available data. Still, due to its poor quality and inconsistent structure, the potential of this data remains unused for the most part. The JValue Open Data Service was established to enhance the quality of this data and give it a standardized structure. It is supposed to make the…