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
Azure Databricks SCIM allows you to sync users and groups from Azure Active Directory to Azure Databricks ensuring consistent access control across platforms and simplifying user provisioning and deprovisioning processes
Discover the power of BICEP in provisioning a robust Databricks workspace infrastructure, including the Azure Data Factory, Key Vault and Storage account; I'll use some PowerShell to configure RBAC permissions between resources and I'll show you how use the logging command task.setvariable
On this series I'm going to show you how to provision your Databricks infrastructure with BICEP and to connect your workspace to Azure's Entra ID to manage users & groups. Furthermore, I'll show you how to deploy your notebooks across Environments with yaml pipelines and orchestrate with ADF
This would be our final leap forward where I will divide ADF components into two groups two groups: Core and Data-Product; I'll explain why I think this is a good approach for enterprise scale setups where you might have a team dedicated to provide infrastructure services.
This would be a leap forward from publishing a Full ARM into a Selective Deployment of Components, I'll introduce Azure DevOps Marketplace and show you how to install the extension Deploy Azure Data Factory (#adftools) created by Kamil Nowinski and step-by-step how to configure our ADF.