Graph algorithms enable you to explore and discover relationships in social networks, IoT, big data, data warehouses and complex transaction data for applications such as fraud detection in banking, customer 360, and smart manufacturing.
Oracle Graph includes 50 built-in, parallel analytic functions to perform ranking, centrality, recommendation, community detection, path finding, and more. These functions provide highly scalable, fast query execution to speed up the discovery of relationships within your data sets.
BLOG - Getting Started Woth Property Graphs on Oracle Database click here .
Machine Learning on Autonomous Database Workshop click here .
Presenter: Graph Product Management Team, Oracle
This session reveals the magic of graphs. Graph analysis can answer questions like detecting patterns of fraud or identifying influential customers, quickly and efficiently. Using the built-on 50+ prebuilt graph analytics, it's very easily to add graph analysis as part of your data warehouse.
Oracle Spatial and Graph YouTube channel, click here.