The Role of dbt in Modern Data Transformation
dbt has become the standard for data transformation in modern data platforms. This article covers what makes dbt powerful, how to structure a dbt project, an...
Welcome to **Data Platform Design** — a blog covering practical insights on building, operating, and scaling modern data platforms.
Topics include architecture patterns (Medallion, Data Mesh, Data Fabric), CI/CD for data, data quality frameworks, dbt, platform engineering, and more.
Recent Posts
Implementing Data Quality Frameworks in Modern Data Platforms
Data quality is the foundation of data trust. This guide covers how to design and implement a data quality framework that scales with your data platform.
Data Mesh vs. Data Fabric: Choosing the Right Architecture
Data Mesh and Data Fabric are two prominent approaches to modern data architecture. Understanding their differences will help you choose the right approach f...
Code Control in Data Platforms
Effective code control is the foundation of reliable data platforms. This covers Git branching strategies, code review practices, and how to apply them in da...
Platform Engineering at Scale
Platform engineering is about enabling developer productivity through shared, self-service infrastructure. At scale, this requires automation, governance, an...
CI/CD for Data Platforms
CI/CD for data platforms goes beyond code deployment — it includes testing data quality, schema validation, and safe pipeline promotion. Here’s how to do it ...
Understanding the Medallion Architecture
The Medallion Architecture organises data into Bronze, Silver, and Gold layers to progressively improve quality and accessibility. Learn how to implement it ...