Do you enjoy managing and maintaining merge scripts to move data through your Medallion Architecture? Me neither.

In this session we'll look at how to move the burden of incremental execution from your notebook scripts to Fabric’s internal storage engine instead.
We will explore how Materialized Lake Views (MLVs) allow you to build an incremental Medallion architecture using declarative SQL queries while keeping your serving layer fully compatible with Direct Lake mode.

You will learn:

▪ What Materialized Lake Views are and how they differ from standard SQL views or manual notebook tables.
▪ How to create, chain, and refresh your first Materialized Lake Views to build a functional data tier.
▪ The practical pros and cons of using this automation versus writing traditional notebook code.