Efficiently managing and merging heterogeneous, changing data sources has become a critical success factor for enterprises. The AMPL project (Automatic Meta Data ​Pr​ofiling and Lineage for Integrating Heterogeneous Data Sources) aims to develop a new tool for structuring, analyzing and exploring multiple heterogeneous, dynamic data sources. For this purpose, extensive data profiles are computed, consisting of statistics, correlations and complex provenance information (lineage). Machine learning assisted methods help in schema mapping between data sources as well as new methods for scalable and incremental computation of the data profiles.

AMPL project

As part of the BMBF funding initiative “KMU-innovativ”, ScaDS.AI Dresden/Leipzig started AMPL to develop a new tool for structuring, analyzing and exploring large volumes of heterogeneous, dynamic data sources. Partners from research and industry are working together in this project.

Are you interested in the other research projects of our AI and Big Data competence center? You can read more about all of our research areas on our website. Here you can find more information on research directions, key topics and projects, that our researchers are working on. Furthermore, here you receive an overview of the projects of the Transfer and Service Center. If you have any questions, our researchers are happy to answer your questions about their work!