We are pleased to share a set of key updates regarding the Copilot in Microsoft Fabric experiences. The information in this blog post has also been shared with Fabric tenant administrators. Below are the highlights of the changes. This change is an important milestone to eventually allow Copilot to reach GA within this year. See … Continue reading “Copilot in MS Fabric: Soon available to more users in your organization“
Users orchestrate their data engineering or data science processes using notebooks and in most of the enterprise scenarios pipelines and job schedulers are used as a primary option to schedule and trigger these Spark jobs. We are thrilled to announce a new feature Job Queueing for Notebook Jobs in Microsoft Fabric. This feature aims to … Continue reading “Introducing Job Queueing for Notebook in Microsoft Fabric”
Create data pipelines in Fabric to access your firewall-enabled ADLS Gen2 storage accounts with ease and security. We are excited to announce a new feature in Fabric that enables you to create data pipelines to access your firewall-enabled Azure Data Lake Storage Gen2 (ADLS Gen2) accounts. This feature leverages the workspace identity to establish a … Continue reading “Introducing Trusted Workspace Access in Fabric Data Pipelines”
We are always working on making the experience of building low-code data pipelines as easy as possible for our customers. Next week, we are going to roll-out a new experience in the Script activity in Fabric Data Factory pipelines to make it even easier to build expressions using the pipeline expression language.
We are excited to announce the new landing page for Data Pipelines for Fabric Data Factory, which offers an updated user-friendly experience to help empower every customer to find and build useful data solutions to better ingest data. You can start building and create your first Data Factory pipeline in 5 minutes, use pre-defined templates … Continue reading “Explore data solutions efficiently with Data Pipeline’s new landing page in Fabric Data Factory”
