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”
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”
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.
