22-25 April 2026
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What are Fabric Materialized Lake Views

Proposed session for SQLBits 2026

TL; DR

With Fabric Materialized Lake Views you can setup your data ingestion and transformations using a familiar SQL syntax. This demo rich session shows how to get started with

Session Details

If you were used to setup data transformation and ingestion with SQL, and you plan on using this in Fabric as well, then Materialized Lake views are worth considering.

Via a series of SQL queries you can transform your data from raw (bronze) to curated (gold). But it's more than a series of SQL queries: you can run these incrementally if you want, track the lineage, schedule execution and more.

This demo-rich session shows you the why and how on Fabric Materialized Lake View for people familiar with Fabric but new to Materialized Lake Views.

3 things you'll get out of this session

Learn how to create Fabric Materialized Lake Views Checking data quality with Fabric Materialized Lake Views How do Fabric Materialized Lake Views refresh incrementally

Speakers

Nico Jacobs

blogs.u2u.be/author/Nico-Jacobs

Nico Jacobs's other proposed sessions for 2026

Fabric Data Agents - 2026
The Power of Paginated Reports - 2026
When Translytical Task Flow meets Fabric Data Function - 2026

Nico Jacobs's previous sessions

Getting started with SparkML in Microsoft Fabric
Microsoft Fabric supports machine learning in their Spark notebooks. See an end-to-end demo of how Fabric data is used to build machine learning models upon, which are then used to make predictions about other Fabric datasets.