Modern property-management platforms (Entrata, Yardi, AppFolio, etc.) expose rich data (leases, units, financials, property details, etc.) but each one structures its APIs differently. For real estate investment firms, the hard part isn’t getting data out, it’s standardizing those inconsistent REST, JSON, and CSV feeds into a clean, governed dimensional model that can power KPIs, period-over-period reporting, and compliance analytics.

To show how we would solve this, Mugnano Data Consulting built a Property Management Demo Pipeline: a fully automated, metadata-driven system showing how we onboard any property-management API into a high-quality Type-2 dimensional warehouse with minimal custom coding.

Dive deeper into how we leverage the extensibility features of the DbSchema Data Modeling Tool. Specifically, we’ll show how to design a dimensional model and generate DDL that directly integrates with Mugnano Data Consulting’s dimension utility functions

This post introduces DbSchema, a data modeling tool I found effective for Greenplum. I’ll show how I worked with the vendor to make Greenplum a first-class citizen in the platform, supporting logical and physical design as well as DDL generation.