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Our top 3 takeaways from FabCON 2026

  • Mar 25
  • 2 min read

Last week’s FabCON brought a huge volume of announcements, updates and direction of travel for Microsoft Fabric. There is a lot to take in and a lot to be excited about.


Rather than trying to cover everything, we have focused on the three updates that stood out most to us. Not just because they are new, but because they genuinely move the dial for those building, operating and relying on Fabric day to day.


Audience in a dark room attentively watching a presentation. The backdrop is lit with soft, circular lights creating a focused atmosphere.


1. Pipelines that do more of the heavy lifting

One of the most meaningful shifts is the continued evolution of Fabric Data Factory pipelines, particularly with the introduction of built-in Lakehouse maintenance and SQL endpoint refresh activities, alongside the general availability of Copilot in the expression builder.


What this means in practice is a move away from stitched together scripts and manual intervention, towards pipelines that can manage not just data movement, but also performance, optimisation and operational reliability. For developers, this reduces the need for custom code and lowers the friction in building robust solutions. For organisations, it means more predictable performance, lower maintenance overhead and greater confidence in downstream reporting.



2. Mirroring that scales with you

Mirroring has always been one of the most compelling features in Fabric due to its simplicity and speed. The latest enhancements introduce optional capabilities that add more control over how mirroring behaves, without losing that simplicity.


This is important because it removes a common trade-off. Previously, teams often had to choose between quick, low effort ingestion and more controlled, enterprise-ready approaches. With these updates, mirroring becomes a more viable long-term strategy, not just a quick starting point.

For those working in Fabric, this creates more flexibility in how solutions are designed. For clients, it means faster access to data without compromising on governance or scalability as needs evolve.

Read more here: https://lnkd.in/eczafvXU


3. Data lineage built in, not bolted on 

The introduction of audit columns in Copy Job is a small change on the surface, but a significant one in impact. Fabric can now automatically attach key metadata to every row as it is ingested, making it far easier to track where data has come from and how it has been processed. 

For developers and data teams, this removes the need to build and maintain custom lineage logic. For organisations, it strengthens governance, simplifies audit processes and improves trust in the data being used for decision making. 


It is another clear step towards making governance a native part of the platform, rather than an additional layer. 


Read more here: https://lnkd.in/e4EbFk44 


Our takeaway

Across all three, the direction is clear. Fabric is becoming easier to operate, not just easier to build on. Less manual effort, more built-in capability and a stronger foundation for scaling data platforms with confidence.


There is a lot more to come out of FabCON, but these are the updates we are most excited to start putting into practice. 

 
 
 

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