In this second part of our blog series, we’ll demonstrate how to set up an automated fraud detection system using Google’s BigQuery ML and Fivetran. This blog post demonstrates setting up an automated fraud detection system using BigQuery ML and Fivetran. We’ll move a credit card transactions dataset from a source database to BigQuery using Fivetran, then run BigQuery ML classification experiments to predict fraudulent transactions. This solution enables centralized data, modernized infrastructure and scalable ML applications for combating credit card fraud, all without requiring setup or maintenance.