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Category: Microsoft Fabric

Microsoft Fabric Data Warehouse July 2025 Recap

Charles Webb lays out some updates:

Welcome to What’s New in Fabric Warehouse, where we’ll spotlight our work improving quality, delivering major performance enhancements, boosting developer productivity, and our continuous investments in security. Whether you’re migrating from Synapse, optimizing your workloads, writing SQL in VS Code, or exploring new APIs, this roundup has something for every data professional. With quality and experience at the forefront, we’ve summarized and highlighted key improvements we think you’ll love, organized into three sections:

  1. What’s New
  2. Docs Updates
  3. Roadmap Updates

Read on for that update.

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Using a Child Pipeline Variable in a Parent Pipeline in Fabric Data Factory

Justin Bird passes back some information:

I answered a question on the Fabric community on return variables recently and thought I would expand upon it in a blog post. The question was how to use a variable derived in a child pipeline downstream in the parent pipeline. The person was specifically deriving a json object and wanted to iterate on the values in the parent pipeline.

Click through for the solution.

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No More TLS 1.1 in Microsoft Fabric

Nisha Sridhar makes an announcement:

We have officially ended the support for TLS 1.1 and earlier on the Fabric platform. As previously announced, starting July 31, 2025, all outbound connections from Fabric to customer data sources must use TLS 1.2 or later.

This update follows our earlier announcement in the TLS Deprecation for Fabric blog, where we outlined the rationale and timeline for this transition.

Read on to see what you might need to do to keep up to date.

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Auto-Scale Billing for Spark in Microsoft Fabric now GA

Santhosh Kumar Ravindran announces a feature in general availability:

We’re thrilled to announce the general availability (GA) of Autoscale Billing for Apache Spark in Microsoft Fabric — a serverless billing model designed to offer greater flexibility, transparency, and cost efficiency for running Spark workloads at scale.

With this model now fully supported, Spark Jobs can run independently of your Fabric capacity and are billed on a pay-as-you-go basis — similar to how Spark works in Azure Synapse. This gives teams the freedom to scale compute as needed without impacting other workloads running on your shared Fabric capacity.

I’m of two minds here. On the one hand, there is value to having this as an option. On the other hand, one of the talking points for Microsoft Fabric is that you have one billing model. But because it’s an optional thing you can enable rather than something you must use, I’m fine with it.

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Microsoft Fabric Features for July 2025

Patrick LeBlanc has an update for us:

Welcome to the July 2025 Fabric Feature Summary! This month’s update covers major events like the return of the Microsoft Fabric Community Conference in Vienna, and the 10th anniversary of Power BI. Key platform enhancements include new domain tags and updates to the default category in the OneLake catalog. You’ll also find highlights on data science developments, such as Fabric data agent integration with Microsoft Copilot Studio. Explore the innovations shaping the future of Fabric in this month’s edition.

Read on for a long list of new and updated features.

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JSON Lines Support in Microsoft Fabric

Jovan Popovic makes an announcement:

We’re happy to announce the preview of JSON Lines (JSONL) support in the OPENROWSET(BULK) function for Microsoft Fabric Data Warehouse and SQL endpoints for Lakehouses.

The OPENROWSET(BULK) function allows you to query external data stored in the lake using well-known T-SQL syntax. With this update, you can now also query files in JSON Lines format, expanding the range of supported formats and simplifying access to semi-structured data.

Click through to see it in action.

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Fabric Studio 2.0 Released

Gerhard Brueckl has an update:

7 months after the first official release of Fabric Studio, I am very happy to share the I just released the next major version with a lot of new features that make working with Microsoft Fabric from VSCode better and more intuitive than ever! The release includes some new capabilities that I wanted to get into the tool since the very beginning but back then the APIs just weren’t there yet. Finally they are and I integrated them into Fabric Studio v2.0!

Click through for a quick changelog, a link to the full changelog, and where you can grab a copy of the Visual Studio Code extension.

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Optimizing Multi-Notebook Jobs in Microsoft Fabric and AWS Glue

Daniel Janik flips a switch:

Are your Azure Fabric pipelines with multiple notebooks running slower than you’d like? Are you paying for more Spark compute time than you should be? The culprit might be a simple setting that’s easy to miss. In this blog post, we’ll dive into the “For pipeline running multiple notebooks” setting in Azure Fabric and explain why enabling it can significantly improve your pipeline’s performance and reduce your costs.

Click through for this, as well as a comparison with AWS Glue and ways to perform something similar there.

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Goodbye, Default Semantic Models

Pradeep Srikakolapu makes an announcement:

Microsoft Fabric is officially sunsetting Default Semantic Models. This change is part of our ongoing efforts to simplify and improve the manageability, deployment, and governance of Fabric items such as warehouse, lakehouse, SQL database, and mirrored databases.

This is definitely a good thing. The idea of a default semantic model wasn’t bad, especially early on in Microsoft Fabric’s development life. But those default models almost never had enough information to do what customers actually want, so they would sit there as a distraction.

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