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In-Database Analytics with ibmdbpy

In-Database Analytics with ibmdbpy
Autor:

Edouard Fouché, Alexander Eckert, Klemens Böhm

Quelle:

Proceedings of the 30th International Conference on Scientific and Statistical Database Management 2018 (SSDBM 2018)

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Abstract

The increasing size of the available data and database volumes represents a real challenge for the data management community. In general, current approaches in data mining require the data to be first extracted from an underlying database. From a practical point of view, this presents many drawbacks. In this short article, we present a possible solution to bridge the gap between data repositories and end user analysis. We demonstrate the interestingness of this approach with ibmdbpy, an open source Python interface developed by IBM for database administration and data analytics.