To me: It’s a marketing term by databricks that is easy to explain to business and domain experts but more confusing for data professionals. I have enjoyed classical data architecture since back in the day with <code>stage -&gt; cleansing -&gt; core -&gt; mart</code>. Marts usually persisted in cubes for fast responses
Read more on <a href="https://www.ssp.sh/brain/medallion-architecture/" target="_blank" rel="noopener nofollow">https://www.ssp.sh/brain/medallion-architecture/</a>.

Genuine news from the open-source data engineering ecosystem.

Data Engineering

Medallion Architecture is a term coined by Databricks that aims to simplify data architecture for business and domain experts. However, it may be confusing for data professionals who are accustomed to classical data architecture models such as stage, cleansing, core, and mart, where marts are typically persisted in cubes for faster responses.

Medallion Architecture Hype or Useful?

I do agree with you that this term is quoted heavily by Databricks, but dosent it applies to most of data use cases out there? I mean the projects I’ve worked on were benefitted with this object store based file hosting architecture.