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.

Experiencing Greenplum performance issues after a network change? If Informatica ETL jobs are suddenly slow but CPU, memory, and disk look normal, the problem may be hidden in the Greenplum interconnect layer. This post explains how subtle backend network behavior, UDP retries, and inter-segment communication issues can quietly degrade MPP database performance.

Part 2 dives into the discovery phase of a real-world DR redesign, uncovering the constraints that matter most at scale—WAL volume, retention windows, and storage behavior. It shows why understanding these realities is critical before any recovery architecture can succeed.

As MPP PostgreSQL platforms grow, traditional logical backup strategies quietly stop meeting business expectations. Part 1 sets the stage by examining why multi-day backups and restores are no longer acceptable, and why disaster recovery needs to be rethought before scale makes change unavoidable.

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.

Automating Agile Data Onboarding with Greenplum Sailfish

We understand the challenges of provisioning and operationalizing a Greenplum or Cloudberry data warehouse environment. Whether you’re deploying on physical infrastructure, virtual platforms, or the cloud, setting up a high-performance MPP database requires precision, expertise, and automation.

The DBA Operations Kickstarter is a comprehensive toolkit designed by Mugnano Data Consulting to automate and operationalize best-practice DBA workflows for Greenplum and Cloudberry environments. Whether you're onboarding a new system or stabilizing an existing one, this solution delivers an enterprise-grade operational foundation in hours, not months.

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.