The augmented medallion architecture

The Medallion Data Architecture, a known standard in data architecture for analytics

The medallion data architecture is a structured approach that simplified the different stages of data processing that improves data quality, governance, and analytical capabilities across the data lifecycle.

It consists of multiple layers, each serving a distinct purpose in ensuring data integrity, transformation, governance and consumption.

This data architecture is best suited for batch analytics, but is also applicable to real-time analytics architecture, as the different steps are mostly required to provide data consumers correct data.

The different layers can be Here are some overview of the purpose for each layer :

This is already very interesting, but we can go further with an augmented version of this architecture.

The augmented Medallion Data Architecture, a simple way to look at data architecture

The augmented medallion architecture extends the traditional Bronze-Silver-Gold layers with Platinum, Parametrization, and Data Quality layers to support scalability, auditability, governance, and performance for modern data-driven organizations.

It is composed of data storage layers, process calculation layers but also transversal layers and data consumer specific layer.

Here are some overview of the purpose for each layer :

Now that we've set up the stage, it's time to explore each layer more closely :

• Bronze layer
• Silver layer
• Gold layer
• Platinum layer
• Parametrization layer
• Data Quality layer

This article is part of a series of article describing the augmented medallion architecture.