Balancing Ontology Complexity and Data Scale in Knowledge Graphs

Do people find, when constructing a knowledge graph that they are forced to make tradeoffs between the intricacy/complexity of their ontologies and the scale of data they can include in the knowledge graph? Any good war stories?