This curated guide follows the journey from installation and onboarding to automation, data modeling, advanced analytics, and machine learning. Each blog post here is organized to reflect the natural progression of a Greenplum deployment.

This blog summarizes a demonstration delivered to a customer interested in understanding how Greenplum can be used for machine learning, without exporting data to external systems. The objective was to showcase how churn modeling can be prototyped and iterated entirely within Greenplum using the gpmlbot utility, which automates feature preparation, model training, and evaluation.