Treating Knowledge Graphs Like SQL Is Killing Your Project – How to Flip It
Most knowledge-graph projects flop because teams treat them as relational databases—direct SQL-to-RDF mapping, row-oriented schemas, weak deduplication, and ballooning scope. Cagle and Shannon show how a graph-first model, rigorous entity resolution, and incremental, well-scoped design turn those failures into fast, maintainable knowledge graphs.