Fabric News
Latest updates, announcements, and features from Microsoft Fabric.
Co-author: Alexei Robsky, Data Scientist Manager Overview As organizations increasingly rely on real-time data to drive decisions, the need for intelligent, responsive systems has never been greater. At the heart of this transformation is Fabric Real-Time Intelligence (RTI), a platform that empowers users to act on data as it arrives. Today, we’re excited to announce …
Continue reading “Introducing MCP Support for Real-Time Intelligence (RTI) “
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)”
Have you ever found yourself frustrated by inconsistent item creation? Maybe you’ve struggled to select the right workspace or folder when creating a new item or ended up with a cluttered workspace due to accidental item creation. We hear you—and we’re excited to introduce the new item creation experience in Fabric! This update is designed …
Continue reading “Introducing new item creation experience in Fabric”
We’re excited to announce Surge Protection for background operations is now Generally Available (GA). Using surge protection, capacity admins can limit overuse by background operations in their capacities.
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)”
Introduction Integrating Azure API Management (APIM) with Microsoft Fabric’s API for GraphQL can significantly enhance your API’s capabilities by providing robust scalability and security features such as identity management, rate limiting, and caching. This post will guide you through the process of setting up and configuring these features. You may not be familiar with API …
Continue reading “Integrating Azure API Management with Fabric API for GraphQL”
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”
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”
We’re excited to announce that the long-awaited refresh SQL analytics endpoint metadata REST API is now available in preview. You can now programmatically trigger a refresh of your SQL analytics endpoint to keep tables in sync with any changes made in the parent artifact, ensuring that you can keep your data up to date as needed. …
Continue reading “Refresh SQL analytics endpoint Metadata REST API (Preview)”
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.