Analyze connections and find patterns in data with graphs
summary
Oracle demonstrates Graph Studio inside Autonomous Database that models relational tables as graphs, builds graph views on tables, and loads them into an in‑memory graph server for queries and analytics. It runs PGQL and SPARQL, offers Java/Python APIs, and exposes over 60 algorithms (PageRank, clustering, path/cycle detection). Examples include a 2.1 billion‑triple RDF dataset with ~1.27s SPARQL responses, a customer graph of “400 billion vertices and 2 billion edges,” and real‑time transaction monitoring used for fraud detection.
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chapters (17)
- 0:00Introduction
- 0:36What are graphs
- 1:31Data entities
- 3:41Where graphs add value
- 6:29Financial services example
- 9:24Manufacturing example
- 10:32Identifying components
- 11:24Oracle Graph
- 12:26Graph features
- 14:33Transactional workflows
- 15:33Graph models
- 17:02Scalability
- 18:45Create a graph
- 19:43Property graph query language
- 23:01Graph algorithms
- 24:21Graph Studio
- 27:25Why Oracle Graph
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