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Microsoft Fabric Updates Blog

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Meet Your Healthcare Regulation and Compliance Requirements with Purview Data Loss Prevention (DLP) Policies 

  • Headshot of article author tháng 8 27, 2025 của Yael Biss 16.789 Lượt xem

In healthcare, data security is not just a technical priority—it’s an ethical and legal imperative. From electronic health records (EHRs) to population health analytics and research data, healthcare organizations working with platforms like Microsoft Fabric must protect sensitive health information while navigating a complex web of regulatory requirements, most notably HIPAA and regional health privacy … Continue reading “Meet Your Healthcare Regulation and Compliance Requirements with Purview Data Loss Prevention (DLP) Policies “

August 2025 Fabric Feature Summary

The August 2025 Fabric Feature Summary showcases several exciting updates designed to streamline workflows and enhance platform capabilities. Notably, users will benefit from the new flat list view in Deployment pipelines, making navigation and management more intuitive. In addition, expanded support for service principals and cross-tenant integration with Azure DevOps reflects Microsoft’s commitment to versatile … Continue reading “August 2025 Fabric Feature Summary”

Mastering Declarative Data Transformations with Materialized Lake Views

Organizations often face challenges when trying to scale analytics across large volumes of data stored in centralized SQL databases. As business teams demand faster, more tailored insights, traditional reporting pipelines can become bottlenecks. By adopting Lakehouse architecture with Microsoft Fabric, business groups can mirror their SQL data into OneLake and organize it using the Medallion … Continue reading “Mastering Declarative Data Transformations with Materialized Lake Views”

Use Fabric User Data Functions with Pandas DataFrames and Series in Notebooks

  • Headshot of article author tháng 8 26, 2025 của Jenny Jiang 19.654 Lượt xem

We’ve made a major enhancement to the Notebook Integration with Fabric User Data Functions (UDFs)—you can now use Pandas DataFrames and Series as input and output types, powered by native integration with Apache Arrow! This enhancement brings higher performance, improved efficiency, and better scalability to your Fabric Notebooks—enabling seamless function reuse for large-scale data processing … Continue reading “Use Fabric User Data Functions with Pandas DataFrames and Series in Notebooks”