Getting Started with Graph Analytics смотреть онлайн

How can you get started with graph analytics in Oracle Database? In April, Product Managers Melli Annamalai and Ryota Yamanaka covered how.

00:00 Getting Started with Graph Analytics
01:50 Why Graphs? An idea of what you can do when you model your data as graphs - detect complex relationships and navigate connections in your data.
07:27 How does Paysafe use graphs to uncover fraud in money transfers?
09:20 Features of Oracle’s property graph technologies
14:40 Getting Started: Modeling your Data as a Graph / Simple PGQL Queries
22:55 Property Graph Architecture Options
24:20 Product Packaging and Shipping
27:43 How to quickly set up a graph analytics environment using Docker on your machine – or Oracle Cloud (including Oracle Cloud Free Tier)
39:43 How to use graph visualization component for a customer 360 graph analytics use case
43:53 Pattern Matching – PGQL query example, analyzing financial transaction data set
45:33 Detecting cycles in financial data
46:37 Using Zeppelin notebooks to write more detailed programs for graph analytics – eg, identify the most influential bank accounts, community detection, recommendation
57:32 Some planned features
58:42 Helpful links and resources

Resources

Quick tutorial and use case demos for Oracle Property Graph using Docker - https://github.com/ryotayamanaka/oracle-pg/wiki
Slides from this session – https://www.oracle.com/a/tech/docs/getting-started-graph-analytics-asktom-10.pdf
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