Traversing from Zero to Production with Graphs
summary
Two years of production experience with Neo4j drives a practical playbook: model relationships not documents, use Neo4j Aura or local Docker for deployment, write traversals in Cypher, and extend functionality with APOC and the MongoDB connector. Expect query speedups the presenter cites as up to 100x versus heavy SQL joins, prototype with Cloud Desktop + MCP and LLMs to generate sample data and client code, and prepare roll‑forward migrations, CDC, regular backups and strict access policies before shipping.
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chapters (6)
- 0:00Introduction to Graphs
- 6:57Graph Thinking vs Traditional Data
- 13:43Getting Started with Neo4j
- 19:26Storing Data Correctly in Neo4j
- 23:02Preparing for Production
- 27:35Final Tips and Resources
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