Many databases today capture both structured and unstructured data. Making use of such hybrid
data has become an important topic in research and industry. The efficient evaluation of hybrid
data queries is the main topic of this thesis. Novel techniques are proposed that improve the
whole processing pipeline from indexes and query optimization to run-time processing. The
contributions are evaluated in extensive experiments showing that the proposed techniques
improve upon the state of the art.
