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82 contributions to Learn Microsoft Fabric
Finally, MERGE Statement Will Be Supported in Fabric DW
Microsoft Fabric Data Warehouse now supports the powerful MERGE statement, streamlining data sync operations. It enables seamless INSERT, UPDATE, and DELETE logic in one atomic block—ideal for SCD and ETL workflows. This long-awaited feature simplifies code, boosts performance, and aligns Fabric DW with enterprise SQL standards. A major win for data engineers—Fabric just got more intuitive, efficient, and migration-friendly! Why MERGE Matters The MERGE statement allows you to: Synchronize staging and target tables in one atomic operation Handle Slowly Changing Dimensions (SCD) with ease (Types 0, 1, and 2) Simplify ETL logic by combining INSERT, UPDATE, and DELETE into a single block Reduce code complexity and improve performance in large-scale transformations
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Finally, MERGE Statement Will Be Supported in Fabric DW
Winners of free access to Fabric Dojo 🏅 August Leaderboard Winners! 🏅
Congrats to our top contributors for the month of August. Each of you has earned a free Fabric Dojo pass for September 🥇 @Pavan Kumar (again! Well done Pavan!) 🥈 @Abdelhak ㅤ 🥉 @Pius Mutuma 💬 Drop a comment: what are you working on, and what do you want to get out of Dojo this month? Every month, the top 3 on the 30-day leaderboard win Dojo access. Thanks to everyone who contributed; for more info Read this September’s leaderboard starts now 🚀 best of luck.
Winners of free access to Fabric Dojo 🏅 August Leaderboard Winners! 🏅
4 likes • 24d
Thank you, @Will Needham , I'm aiming to strengthen my practical skills in DevOps practices and contribute more confidently to deployment pipelines. I'm currently diving deep into CI/CD deployments and version control. It's been incredibly helpful in understanding how to streamline development workflows and maintain code quality across environments.
0 likes • 23d
@MuniGopal Allamadugu , Thank you!
Fabric Gets a Glow-Up. August 2025’s Must-Know Enhancements
Deployment pipelines now support workspace view. Deployment pipelines support Git mode. Deployment pipelines support cross-tenant (preview). Spark job definition supports autoscaling (preview). Spark job definition supports Git mode (preview). Spark job definition supports workspace view (preview). Data pipeline supports workspace view (preview). Data pipeline supports Git mode (preview). Data pipeline supports cross-tenant (preview). Notebook supports workspace view (preview). Notebook supports Git mode (preview). Notebook supports cross-tenant (preview). SQL analytics endpoint supports Git mode (preview). SQL analytics endpoint supports workspace view (preview). SQL analytics endpoint supports cross-tenant (preview). Metadata REST API supports workspace view. Audit logs support workspace view. Schema registry supports workspace view.
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Pavan Kumar
5
360points to level up
@pavan-kumar-1816
With over 12 years of experience as a Data Engineer and Analyst, I’ve built a strong foundation in designing and optimizing data solutions.

Active 6h ago
Joined Sep 16, 2024
INDIA
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