Self-paced labs to learn SQL Server on Linux and Docker Containers.
Note this github repo is marked PUBLIC but the labs are still a work in progress. Stay tuned when we will have all the initial labs ready to be used.
To use these self-paced labs you must go through installation of Linux and tools by going through the prelab. Follow the instruction in the readme.md in the prelab folder.
The self-paced labs should be done in the following order:
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deploy_and_explore
In this lab you will learn how to deploy SQL Server, explore files from the SQL Installation, explore various common Linux commands and the bash shell, and perform basic tests to connect to SQL Server on Linux.
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auto_tune
In this lab you will learn how to observe the Automatic Tuning Feature of SQL Server using SQL Operations Studio. You will learn basics of how to use SQL Operations Studio while understaning how Automatic Tuning can help customers resolve query plan regression problems.
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containers
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appcompat
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.
When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.