Kick-off: New research project AMPL

03/15/2021 // SCADS

Published on 15 March 2021

As part of the BMBF funding initiative “KMU-innovativ”, ScaDS.AI started a project with partners from research and industry to develop a new tool for structuring, analyzing and exploring large volumes of heterogeneous, dynamic data sources.

Efficiently managing and merging heterogeneous, changing data sources has become a critical success factor for enterprises. AMPL (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.

TU
Universität
Max
Leibnitz-Institut
Helmholtz
Hemholtz
Institut
Fraunhofer-Institut
Fraunhofer-Institut
Max-Planck-Institut
Institute
Max-Plank-Institut