Microsoft Fabric

Weekly Fabric

The latest Fabric updates focus on reducing data movement, improving Spark operations, tightening service visibility and making real-time analytics easier to build.

What shipped

  • Securing Outbound AI Connectivity in SQL Server 2025: AI is now part of the data layer SQL Server is evolving beyond a system that only stores and queries data. (16 Jul)
  • Controlling storage costs with OneLake lifecycle management: OneLake Storage Tiers and Lifecycle Management are now generally available in Microsoft Fabric. (16 Jul)
  • Understand your data with the OneLake storage report: OneLake is the unified data lake for Microsoft Fabric, storing data across Fabric workloads in a shared data foundation. (16 Jul)
  • Use User Data Functions to securely call Fabric REST APIs: User Data Functions (UDFs) provide a secure, reusable logic layer for calling Microsoft Fabric REST APIs through a Fabric client. (15 Jul)
  • ADF-to-Fabric migration flow: Spend less time configuring and troubleshooting pipelines—and more time delivering insights. (15 Jul)
  • ADF-to-Fabric migration flow: Organizations often experience highly variable workload demand throughout the day. (14 Jul)
  • Real-Time Dashboard upgrades: On game day, every second counts We're just days away from one of the biggest sporting events of the year — the FIFA World Cup Final. (14 Jul)
  • What’s new for Dataverse Fabric Link: More control, stronger security, and fresher data: Every organization runs operational data: customer interactions, sales activity, service cases, finance records, inventory movements, approvals, and custom business processes. (13 Jul)
  • OneLake architectural guidance: A practical blueprint for the AI Era: Enterprise data estates weren’t designed for today’s demands. As organizations modernize their platforms for analytics and generative AI, fragmented data estates are becoming a critical barrier. (13 Jul)

Why it matters

  • Securing Outbound AI Connectivity in SQL Server 2025: AI is now part of the data layer SQL Server is evolving beyond a system that only stores and queries data.
  • Controlling storage costs with OneLake lifecycle management: OneLake Storage Tiers and Lifecycle Management are now generally available in Microsoft Fabric.
  • Understand your data with the OneLake storage report: OneLake is the unified data lake for Microsoft Fabric, storing data across Fabric workloads in a shared data foundation.
  • Use User Data Functions to securely call Fabric REST APIs: User Data Functions (UDFs) provide a secure, reusable logic layer for calling Microsoft Fabric REST APIs through a Fabric client.
  • ADF-to-Fabric migration flow: Migration work can start directly from the Fabric workspace rather than forcing a portal handoff.
  • Real-Time Dashboard upgrades: Dashboard creation and monitoring are getting more interactive, including AI-assisted tile editing, time-series visuals and live refresh.
  • What’s new for Dataverse Fabric Link: More control, stronger security, and fresher data: Every organization runs operational data: customer interactions, sales activity, service cases, finance records, inventory movements, approvals, and custom business processes.
  • OneLake architectural guidance: A practical blueprint for the AI Era: Enterprise data estates weren’t designed for today’s demands. As organizations modernize their platforms for analytics and generative AI, fragmented data estates are becoming a critical barrier.

How analytics teams could use it

  • Securing Outbound AI Connectivity in SQL Server 2025: Assess whether it removes data movement, debugging time, dashboard friction or governance gaps in the current analytics stack.
  • Controlling storage costs with OneLake lifecycle management: Assess whether it removes data movement, debugging time, dashboard friction or governance gaps in the current analytics stack.
  • Understand your data with the OneLake storage report: Assess whether it removes data movement, debugging time, dashboard friction or governance gaps in the current analytics stack.
  • Use User Data Functions to securely call Fabric REST APIs: Assess whether it removes data movement, debugging time, dashboard friction or governance gaps in the current analytics stack.
  • ADF-to-Fabric migration flow: Data teams modernising orchestration can assess and move legacy Azure Data Factory pipelines with fewer context switches.
  • Real-Time Dashboard upgrades: Product and operations teams can build live monitoring surfaces for telemetry, customer behaviour and business KPIs with less hand-coded UI work.
  • What’s new for Dataverse Fabric Link: More control, stronger security, and fresher data: Assess whether it removes data movement, debugging time, dashboard friction or governance gaps in the current analytics stack.
  • OneLake architectural guidance: A practical blueprint for the AI Era: Assess whether it removes data movement, debugging time, dashboard friction or governance gaps in the current analytics stack.

Editorial read

Fabric is continuing to push OneLake as the connective tissue: less copy-and-paste data engineering, more open-table interoperability, and more operational workflows that can consume governed analytical data directly. For teams building analytics products, the practical angle is to look for places where Fabric now removes a separate platform, manual troubleshooting step, or bespoke dashboard layer.

Sources

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