Microsoft Fabric Updates Blog

Improving productivity in Fabric Notebooks with Inline Code Completion (Preview)

Now available in preview, Copilot Inline Code Completion is an AI-powered feature that helps data scientists and engineers write high-quality Python code faster and with greater ease. Inspired by GitHub Copilot, this feature offers intelligent code suggestions as you type, with no commands needed. By understanding the context of your notebook, Copilot Inline Code Completion … Continue reading “Improving productivity in Fabric Notebooks with Inline Code Completion (Preview)”

Orchestrate your Databricks Jobs with Fabric Data pipelines

We’re excited to announce that you can now orchestrate Azure Databricks Jobs from your Microsoft Fabric data pipelines! Databrick Jobs allow you to schedule and orchestrate a task or multiple tasks in a workflow in your Databricks workspace. Since any operation in Databricks can be a task, this means you can now run anything in … Continue reading “Orchestrate your Databricks Jobs with Fabric Data pipelines”

Query vs. Mutation in API for GraphQL – Understanding the difference

GraphQL has revolutionized the way developers interact with APIs by offering a more flexible and efficient alternative to REST. Before getting started , Create an API for GraphQL in Fabric and add data to use GraphQL in Fabric. At the heart of GraphQL are two core operations: queries and mutations. While they may look similar on the surface, they serve very different purposes. Let’s explain it in detail.

Evaluate your Fabric Data Agents programmatically with the Python SDK (Preview)

We’re excited to announce that native support for evaluating Data Agents through the Fabric SDK is now available in Preview. You can now run structured evaluations of your agent’s responses using Python — directly from notebooks or your own automation pipelines. Whether you’re validating accuracy before deploying to production, tuning prompts for better performance, or … Continue reading “Evaluate your Fabric Data Agents programmatically with the Python SDK (Preview)”

Accelerate AI on Oracle Databases with Open Mirroring, Fabric Data Agent, and Azure AI Foundry

Additional contributors: Venkat Ramakrishnan, Amir Jafari, Wilson Lee, Maraki Ketema As organizations accelerate their hybrid cloud adoption strategies, Oracle Database@Azure has emerged as a critical platform for running Oracle database workloads using Exadata, Autonomous, Exadata Exascale and Base databases for the enterprise. However, deriving real-time, AI-powered insights in hybrid settings has long been challenging due … Continue reading “Accelerate AI on Oracle Databases with Open Mirroring, Fabric Data Agent, and Azure AI Foundry”