Pragmatic Data Platform (PDP)
The Pragmatic Data Platform (PDP) defines an opinionated architecture and a simple way of working to build a modern data platform in the cloud.
The goal of the Pragmatic Data Platform is to allow teams to go “from art to industry”: developing with less improvisation, more best practices and uniform ways of working.
Take advantage of our dbt packages to build your own platform with a high degree of automation thanks to extensive use of patterns.
Adopt our way of working to improve results and reduce stress to the data team, building clean, easy to maintain data platform.
Pragmatic Data Platform Blog
This blog features articles on data engineering and pragmatic ways to solve data problems.
Many articles touch on some aspect of the Pragmatic Data Platform like its Architecture or way of working, in the meantime, other articles focus on our favorite technologies to build data platforms in the cloud, like dbt Core/Cloud and Snowflake.
Our goal is to provide our honest, opinionated point of view, hoping it can provide actionable solutions or at least good, workable ideas to many practitioners.
Why adopt a Data Mesh architecture?
Series: Data Mesh Architecture
This article is the first of a series on the Data Mesh architecture. It focuses on the reasons why an organization might want to adopt a Data Mesh architecture.
Why we need (more) data modeling
Series: Data Modeling 101
This is the first article of the serie “Data Modeling 101”. Let’s find out together what data modeling is and why we need (more/better) data modeling.
The hell from legacy
Series: Environments
This article is the first of a serie on how data flows across data projects based on how environments are configured. The way environments are connected heavily influences the way teams work and their effectiveness.
Upcoming events
Here’s where you can find Pragmatic Data next.
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