Microsoft Fabric Updates Blog

Streamline Data Engineering & Data Science with Copilot in Fabric

In today’s data-driven world, it’s important to be able to read & understand your data to enable you to gain insights on which patterns/trends you want to monitor. After a data driven decision is taken, you can understand which visualizations you want to build and which machine learning models you want to train to give … Continue reading “Streamline Data Engineering & Data Science with Copilot in Fabric”

Error handling benefits with Fabric’s API for GraphQL

You can take advantage of this with Fabric’s API for GraphQL. However, like any technology, effective error handling is crucial to ensure a smooth user experience and robust application performance. In this blog post, we’ll dive into the intricacies of error handling in GraphQL and share some best practices for managing errors effectively.

Introducing enhanced conversation with Microsoft Fabric Copilot and AI Skill (Preview)

Enhancing AI Functionalities with a Commitment to Privacy and Security At Microsoft, we continuously strive to enhance our services based on valuable customer feedback and evolving needs. In response to our data storage commitments, we are introducing improvements to AI functionalities in Microsoft Fabric. We are thrilled to introduce a new way to store chat prompts … Continue reading “Introducing enhanced conversation with Microsoft Fabric Copilot and AI Skill (Preview)”

Building Apps with Microsoft Fabric API for GraphQL

A data application is a powerful tool that blends data visualizations with web apps, making it easy to dive deep into data analysis and uncover valuable insights. Do you know how Microsoft Fabric has this cool API for GraphQL to build your data applications? It’s pretty awesome because it lets you whip up a GraphQL API in just a few clicks to pull data from sources like Data Warehouses, Lakehouse, Mirrored Databases and DataMart in Microsoft Fabric. Learn how to build a data application that uses Microsoft Fabric API for GraphQL to get data from a gold layer in a medallion architecture.

Faster data processing with Native Execution Engines in Microsoft Fabric Runtime 1.3: efficient memory management explained

Accelerating data processing at scale demands far more than just raw compute power. As the complexity and volume of data workloads grow, every layer of the execution pipeline—especially memory management—plays a critical role in determining overall performance. We’ve introduced unique changes how Spark handles memory with the Native Execution Engine for Fabric Spark, reducing performance … Continue reading “Faster data processing with Native Execution Engines in Microsoft Fabric Runtime 1.3: efficient memory management explained”