SumoDB in Neo4j: Microsoft Fabric bridging Decades of Rikishi — Part 4

A Neo4j Developer Blog post describes a Microsoft Fabric and Aura Graph Analytics pipeline used to examine whether professional sumo has shifted away from traditional belt-based grappling toward pushing and hybrid styles. Using 78,710 Makuuchi and Juryo bouts from 2000 onward, the workflow ingests API data into a Fabric Lakehouse, classifies 82 winning techniques into six style families, creates wrestler style vectors and prestige-weighted victory relationships, and imports the resulting graph into AuraDB. Rank-weighted PageRank identifies wrestlers who defeated strong opponents, while K-nearest-neighbor similarity and Louvain community detection identify seven style archetypes based on winning methods; results are then written back to OneLake for SQL and BI analysis. The findings indicate that belt-and-throw specialists declined from about 23% of wrestlers in the 2000s to roughly 16% in later decades, while two-way hybrids rose to nearly 18%, and pushing increased in Makuuchi as throwing declined. The analysis also suggests that the shift reaches top-ranked wrestlers, Juryo remains relatively more belt-oriented than Makuuchi, and some wrestlers change styles as they move into the top division.

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