Getting graphy - a hands-on crash course with Neo4j
summary
Hands-on workshop that boots a cloud Neo4j Sandbox instance, loads a ~176-node movie graph, and runs Cypher queries to build a simple recommendations engine and a Kevin Bacon number finder. Demonstrates that relationships are stored on disk (not computed at read), uses the Neo4j Browser guide to create nodes/edges, shows indexes for initial lookups, and warns that unconstrained path expansions can explode while shortest-path calls prune search so the demos complete.
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chapters (16)
- 0:00Start
- 0:36A graph is...
- 2:37Anything can be a graph
- 7:53Follow the flow - buying trainers
- 9:37Who is the fraudster ?
- 10:19The Panama papers data model
- 13:54Friends of friends
- 15:25Graph components
- 17:36Label property graph database
- 19:13Cypher A pattern matching query language made for graphs
- 20:27Use MATCH to retrieve nodes
- 22:19Use MATCH and properties to retrieve node
- 23:40Extending the MATCH
- 27:16CREATE
- 28:23Cypher can be case-sensitive
- 29:33Time to have a go!
