In this video, we will demystify Microsoft Fabric Deployment Pipelines! What they are, how to create them but most importantly, how to use them with a hands-on/real-world demo using two of the most commonly use and currently supported Fabric items: semantics models and Python notebooks.
Solution automates key tasks for managing Azure Fabric workspaces & deployment pipelines; It handles the creation of new workspaces, connects workspaces to Git repositories, creates and manages deployment pipelines, assigns users and roles to workspaces and pipelines.
In this session I'll show you how to 1) Provision your Workspace infrastructure with BICEP, 2) Configure SCIM and use Azure's Entra ID security groups, 3) deploy your Notebooks across environments with DevOps YAML Pipelines and 4) Orchestrate your Notebooks via Azure Data Factory.
The video provides a comprehensive overview of working with Git-enabled workspaces in Microsoft Fabric, illustrating the workflow from individual development to collaborative integration and final deployment.
The primary goal of this series is to show you how to working with Git-enabled Workspaces in Fabric using two approaches: Sandbox Workspace for Each Developer or Tied to Specific User Stories.
On this article, I'll explain how to use Microsoft's DevOps extension Power BI automation tools to automate the execution of your Fabric Deployment Pipelines in order to deploy all/selected items in a Power BI pipeline to the next stage.
I'll show you how to orchestrated thru Azure DevOps pipelines a fully functional CI/CD cycle for your Power BI reports.
Git integration empowers you to streamline your development workflow, collaborate and maintain version control for your Power BI reports within the Fabric ecosystem; with deployment pipelines, you can define a series of steps that move your report from development to production environments.
No more PBIX files flying around! Control your Power BI reports using modern software development practices... I'll show you how to use two new features in the Premium pricing tier: Fabric Git-integration for versioning and Power BI Deployment pipelines for faster delivery of content updates
Learn to create a Visual Studio Database project, host it in a DevOps Git repo, and deploy it using Azure DevOps pipelines.
ADF simplifies the orchestration of Azure Databricks notebooks, streamlining your data workflows and ensuring efficient data processing.
Learn how to use DevOps YAML pipelines to create artifacts from collections of Python files and effortlessly deploy them to Databricks workspaces. Gain insights into optimizing your workflow for efficiency and reliability, ensuring smooth transitions between environments