Thinking in Relationships: Practical Graph Database Modelling in Java with Neo4j
summary
Demonstrates a Spring Boot Kotlin app using Neo4j + Spring Boot, Cypher and APOC to model recipes, ingredients, steps and utensils; exposes Spring Data repositories and projection queries, and shows query examples. Claims a two‑day re‑model removed a Redis cache so the app queries Neo4j directly. Warns that million‑scale graphs create a dense node bottleneck, that relationship direction and indexes matter, and that Cypher pattern matching and explain/profile are essential for tuning.
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chapters (7)
- 0:00Graph databases and relationships
- 7:28Why Neo4j for modeling
- 16:36Graph modeling best practices
- 21:54Practical modeling recipes
- 31:01Neo4j with Spring Boot
- 40:12Lessons learned
- 41:35Q&A
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