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Microsoft Fabric Updates Blog

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Fabric Eventhouse now supports Eventstream Derived Streams in Direct Ingestion mode (Preview)

The Eventstreams artifact in the Microsoft Fabric Real-Time Intelligence experience lets you bring real-time events into Fabric, transform them, and then route them to various destinations such as Eventhouse, without writing any code (no-code). You can ingest data from an Eventstream to Eventhouse seamlessly either from Eventstream artifact or Eventhouse Get Data Wizard. This capability … Continue reading “Fabric Eventhouse now supports Eventstream Derived Streams in Direct Ingestion mode (Preview)”

Result Set Caching for Microsoft Fabric Data Warehouse (Preview)

Result Set Caching is now available in preview for Microsoft Fabric Data Warehouse and Lakehouse SQL analytics endpoint. This performance optimization works transparently to cache the results of eligible T-SQL queries. When the same query is issued again, it directly retrieves the stored result, instead of recompiling and recomputing the original query. This operation drastically … Continue reading “Result Set Caching for Microsoft Fabric Data Warehouse (Preview)”

Privacy by Design: PII Detection and Anonymization with PySpark on Microsoft Fabric

  • Headshot of article author junio 12, 2025 por RK Iyer 9.510 Vistas

Introduction Whether you’re building analytics pipelines or conversational AI systems, the risk of exposing sensitive data is real. AI models trained on unfiltered datasets can inadvertently memorize and regurgitate PII, leading to compliance violations and reputational damage. This blog explores how to build scalable, secure, and compliant data workflows using PySpark, Microsoft Presidio, and Faker—covering … Continue reading “Privacy by Design: PII Detection and Anonymization with PySpark on Microsoft Fabric”

Introducing upgrades to AI functions for better performance—and lower costs

Earlier this year, we released AI functions in public preview, allowing Fabric customers to apply LLM-powered transformations to OneLake data simply and seamlessly, in a single line of code. Since then, we’ve continued iterating on AI functions in response to your feedback. Let’s explore the latest updates, which make AI functions more powerful, more cost-effective, … Continue reading “Introducing upgrades to AI functions for better performance—and lower costs”

How to debug user data functions locally in VS Code

Debugging your code is a big deal, especially when you’re working with user data functions. You want to make sure everything works as it should and that’s where local debugging lets you catch problems in your code without messing with the live environment. In this blog post, I’ll walk you through the steps to make local debugging easier, faster, and less of a headache.