A modular and extensible framework that ensures inference of a common schema of multi-model data. It enables to re-use verified single-model approaches, it is able to reveal both intra- and inter-model references as well as overlapping of models, i.e., data redundancy. Following the current trends, the implementation can process efficiently also large amounts of data.
For the purpose of demonstration of key contributions, MM-infer supports three DBMSs selected in order to cover most of the distinct features related to schema inference. In particular:
If there is more than one possibility how to treat a DBMS, for each of the options there are implemented respective separate wrappers.
In our demo of MM-infer, we will gradually go through the process of schema inference of a part of the multi-model scenario from Unibench extended to demonstrate all interesting cases.
In particular, the following steps will be taken during the demonstration:
Department of Software Engineering
Faculty of Mathematics and Physics
Malostranské náměstí 25
118 00 Prague