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Microsoft Fabric Updates Blog

  1. Updates
  2. Data Engineering

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.

Azure Synapse Runtime for Apache Spark 3.5 (Preview)

We’re thrilled to announce that we have made Azure Synapse Runtime for Apache Spark 3.5 for our Azure Synapse Spark customers in preview, while they get ready and prepare for migrating to Microsoft Fabric Spark. Apache Spark 3.5 You can now create Azure Synapse Runtime for Apache Spark 3.5. The essential changes include features which come from … Continue reading “Azure Synapse Runtime for Apache Spark 3.5 (Preview)”

Integrating Fabric with Databricks using private network

Microsoft Fabric and Azure Databricks are widely used data platforms. This article aims to address the requirement of customers who have large data estates in Azure databricks and want to unlock additional use cases in Microsoft Fabric arising out of different business teams. When integrating the two platforms, a crucial security requirement is to ensure … Continue reading “Integrating Fabric with Databricks using private network”

Boost performance effortlessly with Automated Table Statistics in Microsoft Fabric

We’re thrilled to introduce Automated Table Statistics in Microsoft Fabric Data Engineering — a major upgrade that helps you get blazing-fast query performance with zero manual effort. Whether you’re running complex joins, large aggregations, or heavy filtering workloads, Fabric’s new automated statistics will help Spark make smarter decisions, saving you time, compute, and money. What … Continue reading “Boost performance effortlessly with Automated Table Statistics in Microsoft Fabric”