Oct 10, 2026 · 11 min · 8 segments
What is Medallion Architecture, and why is it commonly used in modern data platforms? In this episode, we explore the fundamentals of Medallion Architecture and its three core layers: Bronze, Silver…
So basically, medallion architecture, it's just a way to organize your data, usually in data lakes or lake houses.
I will make a separate episode describing what data lakes and lake houses are.
But you'll just have to remember, overall, metaverse architecture is used in those approaches to organizing your data, so lake houses or data lakes.
It can be also used in a way in data warehouses, but then we have different terms and different layers which are most commonly used in data warehouses.
So I don't really know, but in any case, so it's bronze, silver, and gold.
And the difference between those layers, it's basically a way from the raw data, which is in a bronze layer, And then it goes and being processed, cleaned and prepared to silver and then to gold.
That's the place where the business takes the data from to actually use this data.
So yeah, it's basically a level of organization, cleanliness, and all the stuff we need to do with the raw data to prepare it so the business can use it.
In data warehouses, we usually use the notion of a row or DS and data marts.
So if you're familiar with these terms, you can imagine that medallion architecture is kind of similar, actually.
We can kind of connect that the raw layer is a bronze one, ODS is silver, and then gold is a datamars.
Although with silver it's a bit more complicated because it's not really like ODS.
But it's also important to mention there is no requirement for us to have one silver layer.
We can make some processing and then on the next layer we do an additional type of processing.
And this is quite important for all the medallion architecture as far as I understand.
So basically, medallion architecture, it's just a way to organize your data, usually in data lakes or lake houses.
I will make a separate episode describing what data lakes and lake houses are.
But you'll just have to remember, overall, metaverse architecture is used in those approaches to organizing your data, so lake houses or data lakes.
It can be also used in a way in data warehouses, but then we have different terms and different layers which are most commonly used in data warehouses.
So I don't really know, but in any case, so it's bronze, silver, and gold.
And the difference between those layers, it's basically a way from the raw data, which is in a bronze layer, And then it goes and being processed, cleaned and prepared to silver and then to gold.
That's the place where the business takes the data from to actually use this data.
So yeah, it's basically a level of organization, cleanliness, and all the stuff we need to do with the raw data to prepare it so the business can use it.
In data warehouses, we usually use the notion of a row or DS and data marts.
So if you're familiar with these terms, you can imagine that medallion architecture is kind of similar, actually.
We can kind of connect that the raw layer is a bronze one, ODS is silver, and then gold is a datamars.
Although with silver it's a bit more complicated because it's not really like ODS.
But it's also important to mention there is no requirement for us to have one silver layer.
We can make some processing and then on the next layer we do an additional type of processing.
And this is quite important for all the medallion architecture as far as I understand.
The rest of this transcript — segmented and speaker-labeled, so you land on the exact moment something was said
Search every transcript — by keyword, by phrase, or by meaning, across every show Radar indexes
Trends — what is surging across podcasts, measured against its own baseline
Alerts — when a name you follow appears in a newly indexed episode
No account is needed to search Radar.