Growing up: Redesign of a Database for Big Data[go to overview]
During the development of a distributed database for big data, small datasets are used to test the implementation and to evaluate alternative solutions. These small datasets have the advantage that evaluation results are produced more quickly and the implementation progresses faster. When the database is tested with large datasets, several design decisions based on the experiments with the small datasets can lead to a poor performance or unstable database. In this talk some of these wrong design decisions during the implementation of the distributed RDF store Koral are presented and how they could be improved.
28.07.16 - 10:15