The JValue Project

Making free and open data easy, safe, and reliable to use

Tag: JValue ODS

  • Final Thesis: ETL Data Pipelines Configurations in Spark

    Abstract: The JValue Open Data Service (ODS) is an ETL data pipeline that provides data extraction from different source systems (Extract), performs transformations on the extracted data (Transform), and loads the data to a target database (Load). There are different kinds of stream processing engines that cope with data that have high volume, variety, and…

  • Final Thesis: Hierarchical Open Data Source Import for the JValue ODS

    Abstract: Open Data has become more popular in the last few years due to its value to society. Governments, institutions, companies or individuals can make use of Open Data and add to economic growth or extract new knowledge from publicly available data. The Open Data Service (ODS) is a software developed by the Professorship of Open…

  • Final Thesis: Fehlertoleranzanalyse von Microservice basierten Softwarearchitekturen – Konzept und Anwendung am JValue ODS

    Abstract: Microservice-based software architectures play an essential role in building sizeable scalable cloud systems. The main advantage of microservices compared to the traditional software monoliths is the independent development, deployment, and scaling of the individual microservices, which allows innovations at a higher speed. Because microservice-based architectures are distributed systems, complexity is shifted from code to the…