SQLBits 2023

Unveiling the magic of CI/CD for SQL Server using GitHub Actions

In this expert session we unveil the magic of CI/CD for SQL Server updates using GitHub Actions.

In this expert session we unveil the magic of CI/CD for SQL Server updates using GitHub Actions.

Topics covered include:
• Configure branch strategies in GitHub
• Decide whether to work with local applications or a cloud-dev environment
• Setup best GitHub Runner for your environment
• Configure a workflow for SQL Server deployments
• Work with secrets
• Configure Unit Testing
• Unveil some of the magic behind Actions and Workflows

We will be showing demos along the way as well.

At the end of this session you will walk away with a better understanding of how to do SQL Server deployments in your work environment using GitHub Actions.

Kev Chant's other proposed sessions for 2026

Applying DevOps practices to your Power BI deployments in Microsoft Fabric - 2026

Build Your DataOps Foundation With CI/CD for Power BI and Fabric - 2026

Deploy Smarter: Enterprise CI/CD in Microsoft Fabric Using fabric-cli and fabric-cicd - 2026

From Commit to Production: Chapter one of your End-to-End CI/CD Story for Microsoft Fabric with ADO - 2026

From Commit to Production: Chapter two of your End-to-End CI/CD Story for Microsoft Fabric with ADO - 2026

From Setup to Deployment: A full day of CI/CD excellence for Microsoft Fabric using Azure DevOps - 2026

Microsoft Fabric: The Big Picture in One Frame - 2026

The F-Files: Mastering DP-700 Microsoft Fabric Mysteries - 2026

Kev Chant's previous sessions

Unveiling the magic of CI/CD for SQL Server using GitHub Actions

In this expert session we unveil the magic of CI/CD for SQL Server updates using GitHub Actions.

Github and Azure DevOps Duet - SQLBits edition

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.

Azure Data Engineering services used to analyze data

Overview to some of the more popular Azure Data Engineering services used to analyze data

Battle tested project planning with Azure Devops boards

Azure boards within Azure DevOps give you the capability to organise your project and analyse the it’s progress. Do you want your manager to stop bugging you about your project’s progress, come to this session?

Sander Stad's previous sessions

Streamlining Power BI with PowerShell

Power BI is a vital tool for data analytics, but managing workspaces, access, and data sets manually can be time-consuming and error-prone. This session explores how PowerShell automation simplifies and streamlines these tasks.

Saying no is OK

In the high-demand IT field, professionals often struggle with overcommitment and work-life balance. This presentation, "Saying No is OK," offers practical insights and strategies for IT professionals to assertively manage their workload and protect their well-being. Learn the art of saying no, how to prioritize, and maintain professionalism while achieving a healthier work-life balance. Join us for a transformative session that will empower you to succeed while setting necessary boundaries.

Unveiling the magic of CI/CD for SQL Server using GitHub Actions

In this expert session we unveil the magic of CI/CD for SQL Server updates using GitHub Actions.

Github and Azure DevOps Duet - SQLBits edition

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.

Battle tested project planning with Azure Devops boards

Azure boards within Azure DevOps give you the capability to organise your project and analyse the it’s progress. Do you want your manager to stop bugging you about your project’s progress, come to this session?

Start to See With tSQLt

Unit testing with databases is fairly new and is not yet embraced within database development. We'll learn how we can implement setup a database project, implement basic unit testing with tSQLt

Solving the dev DB problem with Docker and dbaclone

Shared dev databases have a disastrous effect on quality and throughput. However, moving to self-service dev/test databases is hard due to storage and data privacy concerns. The solution? Docker and dbaclone.