22-25 April 2026 
Low Code Medallion: Using Lakehouse Materialized views
Proposed session for SQLBits 2026TL; DR
This session explores how they simplify medallion architecture creation into a low-code — and in some cases near no-code — experience, significantly changing how data engineering pipelines are built. You’ll learn how the feature works internally, its limitations, where it fits best, and how to build Materialized Lake Views to streamline and modernize your data pipelines.
Session Details
Materialized lake views are a gaming changing feature for lakehouses and medallion architecture creation.
They transform the creation of a medallion architecture in a low code task, creating big change possibilities for the data engineering work.
The feature internals has it's limitations, defining what scenarios it work for and what scenarios it doesn't.
Discover how this new feature works, their internals and how to build the materializade lake views .
You will find how to use this feature to get your pipelines and medallion architecture closer to become a no code one.
They transform the creation of a medallion architecture in a low code task, creating big change possibilities for the data engineering work.
The feature internals has it's limitations, defining what scenarios it work for and what scenarios it doesn't.
Discover how this new feature works, their internals and how to build the materializade lake views .
You will find how to use this feature to get your pipelines and medallion architecture closer to become a no code one.
3 things you'll get out of this session
- What are materialized lake views
- How materialized lake views work
- How to use constraints for data quality control
Speakers
Dennes Torres's other proposed sessions for 2026
Microsoft Foundry Demystified: Building and Evaluating Agents with MCP and Guardrails - 2026
RAG in the Era of Knowledge Bases: Building Intelligent Retrieval with Microsoft Foundry - 2026
Unlock Real-Time Data with SQL Server 2025 Change Event Stream and Microsoft Fabric - 2026
Unlocking Marketing Intelligence with AI Transformations in Fabric - 2026
Vectors & AI: The Twin Engines of SQL Server 2025 - 2026
Dennes Torres's previous sessions
Data Virtualization and Data Lake using SQL Big Data Cluster (part 1)
In this session we will merge practice and theory, analyzing what is data virtualization and data lake, what their benefits and how to implement them using SQL Server 2019 Big Data Cluster
Data Virtualization and Data Lake using SQL Big Data Cluster (part 2)
In this session we will merge practice and theory, analyzing what is data virtualization and data lake, what their benefits and how to implement them using SQL Server 2019 Big Data Cluster