Kev Chant

Chapter one of an end-to-end CI/CD story for Microsoft Fabric using Azure DevOps. Starting with source control, you’ll see how Fabric Git integration, deployment pipelines, and Azure DevOps can work together.

Discover how to supercharge CI/CD for Microsoft Fabric using Azure Pipelines. This session explores deployments with PowerShell, Fabric CLI, and Fabric-cicd, while showing how GitHub Copilot in Visual Studio Code accelerates automation and coding.

In this session, we’ll explore how AI is fundamentally reshaping the way we work with Microsoft Fabric, driven by the seamless integration of multiple Copilot experiences across the platform.

Take a deep dive into CI/CD strategies for Microsoft Fabric using Azure DevOps. This session explores Git-integrated deployments, Azure Pipelines, variable management and various tooling's.

Fabric-CICD is a Python library initially developed by Microsoft which allows you to perform CI/CD of various Microsoft Fabric items into Microsoft Fabric workspaces. In this session I intend to cover how you can operationalize fabric-cicd to work with Microsoft Fabric and Azure DevOps.

In this session we guide you through preparing for the DP-600 & DP-700 certification exams. Join two Data Platform MVPs as they use their real-world experience in the Data Engineering arena to help you prepare, practice, test and become certified.

During a recent conference I showed three ways to create a Microsoft Fabric Data Warehouse Database project. In this sequel I will show you four different ways to create a Microsoft Fabric Data Warehouse Database project.

In this session I intend to do cover how you can manage deployment pipelines for various analytic solutions within the Microsoft Intelligent Data Platform. For example, Azure Databricks and Azure Synapse Analytics.

Welcome to Azure DevOps trio, a tale about how a development team and an operations team have to bond together and start using Azure DevOps for Data Platform deployments.

A tale about how a development team and an operations team must bond together and figure out how to use GitHub and Azure DevOps together for Data Platform deployments.