Ghost-busting with Neo4j Graph Analytics in Snowflake
summary
Demo shows Neo4j Graph Analytics running inside Snowflake using a native app plus a PKE meter agent that reads a private share, builds graph views, runs betweenness centrality to return the top five gatekeeper ghosts, creates 64-dimensional embeddings with FastRP and clusters them with K‑means (k=5). Cortex Code spins up a Spring Boot intake in ~20 minutes, algorithms run end‑to‑end, artifacts/dashboards save to Snowflake and results write back to tables.
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chapters (11)
- 0:00Introduction to Ghost-busting
- 1:07Setting the scene with Tim
- 4:22Receiving ghost data in Snowflake
- 5:47Creating the PKE agent
- 8:35Analyzing ghost gatekeepers
- 12:51Categorizing ghost types
- 15:20How fast RP embeddings work
- 19:31Graph algorithm inspiration
- 20:35Answering audience questions
- 24:07Results and artifact summary
- 25:51Closing remarks and demo wrap-up
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