In recent years, companies have seen an explosion in adopting lakehouses - with every analytics developer suddenly rebranding themselves as a Lakehouse Export... but time and time again, we hear from organisations that they regret the layering of their lake, and once it's in, its difficult to change!

Maybe the zones don't quite fit what they were trying to achieve, or no one in the company understands what "silver" vs. "gold" actually means, maybe they had to go back and tack in new layers so we expand into "Diamond", "Platinum" and..."Tin"? We need to tackle a key question: Is the Medallion Architecture right for most businesses - and how should you interpret the advice?

In this session, we'll break down the different stages of data curation and talk about how it works in reality, calling on practical examples from many, many real-world implementations. We'll talk about schema evolution, data cleansing, record validation, and traditional data modelling techniques, layering them on top of our lakehouse zones so we truly understand what happens where.

This session is ideal for data architects, engineers, and analysts looking to design the best platform possible, backed by nearly a decade of Lakehouse development, not a few months on a public preview