All about graphs in Database
summary
Shows how Oracle runs graph workloads inside the converged database: create a Property Graph view from tables, load it into an in-memory graph server, run PGQL or SPARQL and 60+ built‑in algorithms like PageRank. Claims include CaixaBank processing ~400 million vertices and ~2 billion edges, Japan’s statistics DB serving 2.1 billion RDF triples with ~1.27s average SPARQL, and Paysafe cutting anomaly-detection to under a second. Demonstrates catalog and fraud use cases, flexible schema/ontology support, and production-ready visualization via Graph Studio.
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chapters (17)
- 0:00Intro
- 2:28Graph from Bank Financial Transactions
- 4:20Analyze Data Based on Connections in Your Data
- 8:08Oracle Graph: Feature of Converged Oracle Database
- 9:59Property Graph Feature
- 11:32Create a Graph from Tables
- 13:02Graph Query
- 15:35Graph Analytics: 60+ Pre-built Algorithms
- 17:05Graphs Analytics API Examples
- 18:31RDF Graph Example
- 19:50RDF Graph Feature
- 21:13RDF Graph Tools
- 21:56RDF Graphs Development Environments
- 22:21Oracle Graph Deployment Options
- 23:56Managing User Privileges with Graphs
- 24:28Analyze Legacy Software Applications PITSS
- 27:35Resources
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