Graph analytics: From zero to hero
summary
Creates a property graph inside Oracle Graph Studio from CUSTOMER, MOVIE and CUSTSALES tables in Autonomous Database, runs PGQL queries and Notebook Python/Java API calls to invoke personalized_salsa and WhomToFollow, and returns ranked movie scores for churn-risk users (example Emilio Welch) and cluster-based recommendations (example Ricky Rogers). Demonstrates visualization of vertex properties, uses a subgraph for SALSA, cites “over 60” built-in algorithms, and notes RDF/SPARQL linking to DBpedia for enrichment.
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chapters (10)
- 0:00Introduction
- 0:24What are graphs
- 2:09Graph algorithms
- 3:04Oracle Graph
- 4:10Demo
- 4:55Overview
- 5:29Graph Studio Demo
- 7:27Notebook Demo
- 15:37Graph Models
- 16:12Example
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