Azure DevOps for the Data Professional
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This document discusses using Azure DevOps for database development. It provides an overview of Azure DevOps features like source control, work tracking, code reviews, builds and releases. SQL Server Data Tools can be used to create database projects in Azure DevOps. An example is provided of adding a new feature to an AdventureWorks database project, committing the changes to source control, and linking work items to track the task. Data professionals are encouraged to use these tools to version database code and automate deployments.
Azure DevOps for the Data Professional
- 1. Azure DevOps for the Data Professional Presented by Sarah Dutkiewicz Cleveland Tech Consulting, LLC
- 2. Agenda What is Azure DevOps? Why should Data Professionals Care? Benefits of Source Control Look into Azure DevOps features SQL Server Data Tools (SSDT) More In-Depth Look at a Project
- 3. Scenario, Part 1 Databases need scripted We need to see who is changing what and when
- 4. Scenario, Part 2 We have a new person! New person’s name doesn’t work with the current system. OneName II
- 5. What is this about?
- 6. High Level Overview Allows build and release automation using pipelines Can break projects into small, deliverable units Can track work against those units Can store versions of code using Git
- 7. Why Should Data Professionals Care? DevOps
- 8. Benefits for Data Professionals Track SQL work against work items – explains value to the client Schema comparison – easy generation of incremental change scripts Code review and change tracking through source control Automate deployment processes
- 11. Tooling Used Visual Studio 2019 Community Edition SQL Server 2017 Developer Edition Azure DevOps Server Express locally Can use Azure DevOps in the Cloud for individuals and small teams, in addition to enterprise options
- 12. Source Control
- 13. Why Source Control? Change tracking Accountability Versioning Code review
- 14. Repository AdventureWorks-Local Folders structured by schema Includes database objects Includes permissions and extended properties
- 16. What Changed?
- 17. Linking Work to Tasks
- 18. Tasks and Links to Work
- 19. Code Reviews
- 20. Features of
- 22. Overview Section Dashboards of overall project views Includes a Wiki
- 24. Work Items
- 27. Builds vs Releases Builds Compile the code Build the DACPACs, change scripts, etc. Tied to repos Releases Deploy the code Update databases with DACPACs, change scripts, etc. Can trigger releases based off of builds
- 28. Releases
- 29. Release Tasks
- 30. Deployment Groups Seen with Release pipelines Used for deploying to particular resources Can be used for deploying to Azure or to local resources
- 31. SQL Server Data Tools (SSDT)
- 32. SSDT Versions Visual Studio 2019 Database Projects - Data Storage and Processing workload AS, IS, RS – extensions Visual Studio 2017 Database Projects - Data Storage and Processing workload AS, IS, RS – SSDT 2017 download SSDT Standalone Still available, but recommended to use Visual Studio
- 33. Database Project Example: AdventureWorks2017 Includes: Tables Views Stored Procedures Triggers … and more
- 34. Ways to Start a Database Project From scratch Import from database connection Import from script Import from DACPAC
- 35. Starting Source of Truth Which to start with? Typically, Production – what does the world know today? Can build change scripts or migrations to go from prod to dev Schema compare can help with that too
- 37. AdventureWorks Demo Plan Starting with base solution Explore a use case not thought of Alter table Alter data for the use case
- 38. Once scripted in a Database project, let the code be the source of truth.
- 39. Final Words of Advice
- 40. Build often.
- 41. If multiple people on the project, schema compare often.
- 42. Generate Script gives you more control of what’s being run.
- 43. Learn More
- 44. Azure DevOps and SQL DevOps with SQL Server: https://www.microsoft.com/en-us/sql- server/developer-get-started/sql-devops/ Azure DevOps, SSIS, and Git: https://andyleonard.blog/2019/03/azure-devops-ssis- and-git-part-0-getting-started/
- 45. Understanding Git Git Immersion: http://gitimmersion.com/ Git on Codecademy: https://www.codecademy.com/learn/learn-git GitHub Guides: https://guides.github.com/ Axosoft’s Gitflow Tutorial: https://blog.axosoft.com/gitflow/
- 46. Any Questions?
Editor's Notes
- #2: Presented February 2, 2020 at SQL Saturday #930 Cleveland, OH