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Category: Microsoft Fabric

Registering Applications to Read Fabric Resources

Andy Leonard works in Microsoft Entra:

My older son, Stephen, and I have been vibe coding information-dense solutions for Fabric lately. The latest application is Fabric Navigator, which simplifies navigation between Fabric Data Factory pipelines and notebooks. While Fabric Navigator includes links to instructions about configuring Azure and Fabric security to allow read access to Fabric Data Factory pipelines and notebooks, I feel a walk-through of a minimally-viable security configuration is in order. Hence, this post.

Click through to see what setting you need to make in Entra, as well as settings you need to change in Microsoft Fabric, for this to work.

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Equalizing Proxy vs Redirect Rates for OneLake Access

Elizabeth Oldag announces a pricing change:

We’re thrilled to share a major update and simplification to OneLake’s capacity utilization model that will make it even easier to manage Fabric capacity and scale your data workloads. We are reducing the consumption rate of OneLake transactions via proxy to match the rate for transactions via redirect. This means you no longer have to worry where you are accessing your OneLake data from (via proxy or redirect), they will consume your capacity at the same low rate.

Read on to see what this means in practice.

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Customer-Managed Keys in Microsoft Fabric Workspaces

Sumiran Tandon makes an announcement:

We’re excited to share that customer-managed keys (CMK) for Microsoft Fabric workspaces are now available in public preview in all public regions! This expansion makes it easier for customers worldwide to meet compliance requirements and implement robust data protection strategies.

Note: This feature was released in public preview in a limited set of regions earlier this year and here’s the step-by-step guide for setup.

I personally tend not to be a stickler about customer-managed versus Microsoft-managed keys, as your data is encrypted either way. That said, I know that there are environments in which this matters a lot.

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Tips for Working with Real-Time Analytics in Microsoft Fabric

Reitse Eskens shares some tips:

When discussing options, possibilities, and solutions with customers, the Real-Time stack began to emerge. We received questions on ingestion that couldn’t be simply answered using batch processing. The best part is that we can start learning new technology!

The following blog will outline the best things I learned working with real-time analytics.

Click through for those items.

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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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