MS.12. Data Model Federation

One important characteristic of Big Data and modern analytics in general is its structural variety. Modern data analytics involve data in very different data models, such as semi-structured JSON or XML data, relational data, and graph data. Typical database management systems implement a single data model, which makes it difficult to handle multi-model analytical tasks. In the future, database management systems will have to support multiple data models and processing such data in a federated process, i.e., data from different data model can be processed together in a single query or a single transaction. The JSON and XML functionality in commercial RDBMSs already provide a glimpse of the future. To achieve real data model federations that can support analytical queries, various problems have to be addressed, for instance the mapping of data between different models to answer a single query, the integration of different query languages, and the efficient execution of such federated data model queries.

Main Advisor at Aalborg Universitet (AAU)
Co‐advisor at Technische Universität Dresden (TUD)