Resource Profiles in Microsoft Fabric Spark — Performance by Default
Jul 10, 2026•Channel
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Published3 days ago
Duration2:45
Video IDFiiPKaSSWds
Languageen
CategoryScience & Technology
PrivacyPublic
Made for KidsNo
Video TypeRegular Video
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#power bi#power bi from rookie to rock star#power bi training#power bi tutorial#learning power bi#microsoft fabric#resource profiles#fabric spark#spark performance#data engineering#fabric insider#apache spark#notebook#fabric analytics#spark optimization#data platform#v-order#native execution engine#business intelligence#fabric data engineering
Description
Stop manually tuning Spark settings for every workspace. There is now a better way.
Resource Profiles in Microsoft Fabric Spark give you the best performance configuration automatically — based on your workload intent. No Spark expertise required.
In this short clip from my Fabric Insider Ep. 4 interview with Santhosh Kumar Ravindran — Principal PM for Spark Compute at Microsoft Fabric — we explain exactly what Resource Profiles are and why they matter for every data engineer working in Fabric.
Here is the problem they solve:
Most Fabric users set up a workspace and start running notebooks without touching a single Spark configuration. The result? Default settings that are not optimised for their specific workload. Write-heavy ETL pipelines running on read-optimised settings. Medallion architectures without V-Order or Optimize Write enabled. Performance left on the table.
Resource Profiles fix this in three steps:
🎯 Step 1 — Specify your intent:
What is your workload? ETL? Medallion architecture? Data science? Analytics?
Is it write-heavy or read-heavy?
What is your data volume or spending limit?
⚙️ Step 2 — The system recommends the right configuration:
Based on your answers, Fabric recommends a pool configuration and environment settings — V-Order, Optimize Write, Native Execution Engine, concurrency settings — all tuned for your specific use case.
✅ Step 3 — One click to apply:
Specify a pool name and environment — and the system creates everything for you automatically.
And coming soon — adaptive auto-update: as the Fabric team ships performance improvements, your Resource Profile automatically picks up the latest optimisations without you doing anything. Set it once. Keep improving.
Resource Profiles are available today in Microsoft Fabric workspace settings.
📺 Full Fabric Insider Ep. 4 interview with Santhosh Kumar Ravindran:
https://www.youtube.com/watch?v=VayYW4REKzc
📝 Full blog post:
https://radacad.com/fabric-spark-custom-live-pools-resource-profiles-performance-fixes-a-conversation-with-santhosh-kumar-ravindran-fabric-insider-ep-4/
🎬 Full Fabric Insider Playlist:
https://www.youtube.com/playlist?list=PLMXQvYI7QV6f8vUxtlFuGzQk-tYj3uOTn
🎧 Fabric Insider on Spotify:
https://open.spotify.com/show/4eJrCr5UOWZ7ggmrVUce6l?si=Jx18sgdaScCgR3P1oDz-dw
💡 Power BI / Fabric Ideas: https://ideas.fabric.microsoft.com
💬 Microsoft Fabric Reddit: https://www.reddit.com/r/MicrosoftFabric/
🔗 Santhosh Kumar Ravindran on LinkedIn: https://www.linkedin.com/in/thisissanthoshr/
🌐 RADACAD: https://radacad.com
🔗 Microsoft Fabric Training: https://radacad.com/microsoft-fabric-training/
#MicrosoftFabric #FabricSpark #ResourceProfiles #SparkPerformance #DataEngineering #FabricInsider #ApacheSpark #Notebook #FabricAnalytics #SparkOptimization #DataPlatform #VOrder #NativeExecutionEngine #BusinessIntelligence #FabricDataEngineering