Boost Fabric Query Performance with Materialized Lake Views (MLV's) (Applied Learning Series Ep.6)
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Boost your query performance and simplify your Medallion architecture in Microsoft Fabric with Materialized Lake Views (Preview). In this episode of the Applied Learning Series, I’ll walk you through why MLVs matter, how to create and refresh them, and how they bring a declarative approach to optimization.
🔑 You’ll learn:
Problem statement: slow repetitive queries & complex Medallion layers
Key features, benefits, and limitations of Materialized Lake Views
Step-by-step creation and refresh process in Lakehouse
How to implement data quality checks with MLVs
Best practices and preview considerations
📍 Timestamps:
00:00:00 Intro to MLV & Problem Statement/Solution
00:03:33 Key Features, Benefits & Limitations
00:06:24 Pre-requisites
00:09:53 Create Your First MLV
00:21:16 Refresh MLV in Lakehouse
00:23:25 Implement Data Quality in MLV
00:27:55 Quick Summary & Thank You
▶ Applied Learning Series Playlist:
• Microsoft Fabric - Applied Learning Series
🔗 References:
Materialized Lake Views Documentation - https://learn.microsoft.com/en-us/fab...
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