Exploration of Microsoft Fabric’s CI/CD Features In today’s rapidly evolving digital and AI landscape, Microsoft Fabric plays a crucial role in managing and automating data integration and analytics processes. As a comprehensive data platform, Fabric offers robust CI/CD capabilities, particularly for data pipelines.
Welcome to the July 2024 update. Here are a few, select highlights of the many we have for Fabric. Creating and managing Git branches & connected workspaces with Git integration just got with the latest enhancements to Fabric Git integration. You now have the capability to perform restore-in-place of a warehouse in Microsoft Fabric through … Continue reading “Microsoft Fabric July 2024 Update”
We are thrilled to share that you can easily browse and connect to your Azure resources automatically with the modern get data experience of Data Pipelines. With the Browse Azure experience, you don’t need to manually fill in the endpoint, URL or server and database name when connecting to Azure resources. Instead, the connection will … Continue reading “Quickly Connect to your Azure Resources in Fabric with the Data Pipeline Modern Get Data Experience”
Fast Copy boosts the speed and cost-effectiveness of your Dataflows Gen2. We loaded a 6 GB CSV file to a Lakehouse table in Microsoft Fabric with 8x faster and 3x cheaper result. See our last post for details. Today, we’re excited to announce that Fast Copy in Dataflow Gen2 now supports high-performance data transfers from … Continue reading “Fast Copy with On-premises Data Gateway Support in Dataflow Gen2”
Author: Kyungchul (Kevin) Lee | LinkedIn Introduction Welcome back to the blog series on Advanced Scheduling techniques in Microsoft Fabric Data pipelines. In our first blog we covered how to replicate event driven scheduling by polling a storage location (Fabric Data Pipelines – Advanced Scheduling Techniques (Part 1) | Microsoft Fabric Blog | Microsoft Fabric). … Continue reading “Fabric Data Pipelines – Advanced Scheduling Techniques (Part 2: Run a Pipeline on a Specific Day)”
