Microsoft Fabric Updates Blog

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Microsoft Fabric logo

Announcing the General Availability of Fast Copy in Dataflows Gen2

Fast Copy in Dataflow Gen2 is now General Available! This powerful feature enables rapid and efficient ingestion of large data volumes, leveraging the same robust backend as the Copy Activity in Data pipelines. With Fast Copy, you can experience significantly shorter data processing times and improved cost efficiency for your Dataflow Gen2. Additionally, it boosts …

Announcing the new Terraform Provider for Microsoft Fabric (Public Preview)

A new Terraform Provider for Microsoft Fabric is now in public preview. This provider empowers users to automate and streamline their deployment and management processes in a declarative manner. With the Terraform Provider for Microsoft Fabric, users can: Enhance Governance and Compliance: Establish and enforce processes, mitigate risks, identify and rectify infrastructure drifts, use policies …

Announcing Service Principal support for Fabric APIs 

A new way to authenticate and authorize your Fabric applications. You can now use service principal to access Fabric APIs. Service principal is a security identity that you can create in Entra and assign permissions to it in Entra and other Microsoft services, such as Microsoft Fabric.  With service principal you can automate your Fabric processes …

Transform, Validate and Enrich Data with Python User Data Functions in Your Data Pipelines

In our previous post, we announced the preview of User Data Functions in Microsoft Fabric and how it can empower professionals to unlock new potential in their data development workflows. Today, we’re excited to continue that journey by diving into two significant updates: Python support and Data Pipelines integration. These new features combined will enhance …

Using Microsoft Fabric for Generative AI: A Guide to Building and Improving RAG Systems

In the previous blog, we explained how to use Microsoft Fabric to build custom AI applications, focusing on transforming your data into valuable knowledge for Generative AI applications. Specifically, we demonstrated how to implement a Retrieval-Augmented Generation (RAG) system using Microsoft Fabric, integrating Azure OpenAI and Azure AI Search. We are excited to share a …