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Course of studies
Compared to relational databases, graph database systems provide a novel way of processing and analyzing highly interconnected data. Due to their unique properties, graph databases embody an interesting area of research in academic circles. For this reason, this work is fundamentally concerned with examining the state of the industry and current challenges. In this regard, we revisit the basic concepts and highlight the tremendous heterogeneity of available systems using the example of differing path semantics. Based on this insight, we explore algorithmic advancements for graph query processing regarding path finding and worst-case optimal joins. Subsequently, we discuss issues regarding performance and support for graph analytics. Finally, we provide an overview of GQL, a joint standardization effort towards unification of property graph databases.
Water Worries : As the climate changes, scientists study how droughts affect our inland waters
(2022)
Diese wissenschaftliche Publikation befasst sich mit dem Aufbau und der Funktionsweise der alternativen
Antriebstechnologie Wasserstoffverbrennungsmotor. Es wird das
Potential dieses Motors hinsichtlich der Klimaziele als Antrieb für PKW und schwere Nutzfahrzeuge untersucht. Dazu wird dieser bezüglich des Wirkungsgrads und der CO2-Bilanz mit den herkömmlichen Antrieben Otto- und Dieselmotor sowie den
weiteren alternativen Antrieben Batterie und Brennstoffzelle
verglichen.
TSE-Signatur Verifier
(2022)