Property-management platforms provide rich APIs, but inconsistent schemas make analytics difficult. The real work is standardizing REST, JSON, and CSV feeds into a clean Type-2 dimensional model that supports KPIs and compliance reporting.

Mugnano Data Consulting’s demo pipeline shows how this can be done automatically with minimal custom code.

Self-service BI works when the data foundation removes friction for business users. Our reusable dimensional framework gives you trusted definitions, “as-was” and “as-is” choices, foolproof joins, and upstream data quality checks, so teams can explore confidently without hand-coding SQL or exporting to Excel (or god help us all MS Access).

Demonstrate how to leverage PL/Python and the GreenplumPython library to push data transformation logic directly into the Greenplum Database. This approach aligns with a key best practice in big data architecture: move processing to the data, not the other way around. Achieve a scalable, more secure, more cost effective solution for your Python dev team.

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.

Automating Agile Data Onboarding with Greenplum Sailfish