This talk first shows how an in-database machine learning system has been realised by a seamless integration of MonetDB (an open-source analytical columnar DBMS) and TensorFlow (an open-source machine learning library). Then we show with an example application of entity linking using neural embeddings the potential of this integration.

In database analytics, In database entity linking, In database machine learning, Monetdb, Tensorflow
MonetDB Solutions BV
dx.doi.org/10.1109/ICDE.2018.00208
IEEE International Conference on Data Engineering
Centrum Wiskunde & Informatica, Amsterdam, The Netherlands

Zhang, Y, Koopmanschap, R.A, & Kersten, M.L. (2018). Love at first sight: MonetDB/TensorFlow. In IEEE 34th International Conference on Data Engineering, ICDE 2018. doi:10.1109/ICDE.2018.00208