Graph

Use graph analytics and visualization to detect potentially fraudulent money transfers. This lab covers how to load data in CSV files into the database and introduces key graph data modeling and analysis concepts and the interactive Graph Studio for working with graphs in an Autonomous Database. It shows you how to use graph queries to find circular payments, i.e. potentially fraudulent transactions. You will load data from CSV files containing Account and Transaction information. Then create a graph and finally query it and visualize the results.

Estimated lab time: 1 hour

Outline:

• Load account and transaction data from CSV files
• Create a graph of accounts and transactions
• Query the graph for circular payments and visualize the results

Prerequisites:

• Familiarity with Database is desirable
• Some understanding of cloud and database terms is helpful
• Familiarity with SQL is helpful
• Familiarity with Oracle Property Graph is helpful