Presentation Title: Graph Databases. From First Principles to Fraud Analysis
Speaker: Mr Rob Cowell
Company: Oracle
Co-presenter: 
Presentation abstract: More and more people are aware of the existence of Graph databases. High profile use cases for understanding offshore tax regimes, social media users, and of course the basis for the most popular internet search engines have lead to increased awareness from those seeking new insights into their data.

This presentation starts at first principles and aims to ease you into a graph mindset. I’ll show the origins of graph theory and how understanding graph properties allows us to quickly answer complex problems.

Next I’ll look at Oracle's property graph functionality on Big Data platforms and database 12.2. I’ll show how to create and load a new graph database. Then use graph analytics that detect fraudulent bank customers and find suspicious activity before it causes damage. I’ll show Python integration and other options.

I’ll finish by showing some options for visualizing graph data, giving us another way to find anomalous data patterns and reinforce graph concepts.

Presentation begins: 04/12/2017 16:55
Presentation duration: 50
Presentation content level: 3 (1 = indepth, 5 = strategic overview)
Audience experience: All Experience Levels
Audience function: Product User
Speaker biography: Oracle Database, Big Data and Analytics consultant. 24 years of experience as a developer, DBA and architect. Formerly with British Telecom and now with Oracle Corporation I love to learn and look for opportunities to help people make the most of innovative technologies particularly in the fields of predictive and graph analytics.
Related topics: Business Analytics: Big Data & Data Warehousing, Business Analytics: Data Visualisation & Presentation, Business Analytics: Predictive Analytics & Machine Learning
Hall: Hall 7B


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Graph_OUG.pdf2.1 MB08/12/2017 17:16:58


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