Document Details
How To Review Sql Assessment
This page contains Windows bias
About This Page
This page is part of the Azure documentation. It contains code examples and configuration instructions for working with Azure services.
Bias Analysis
Detected Bias Types
windows_first
windows_tools
missing_linux_example
Summary
The documentation page demonstrates a notable Windows bias. It consistently references Windows-specific SQL Server deployments (e.g., SQL Server on Azure VM with Windows), links exclusively to Windows-based best practices, and omits any mention of Linux-based SQL Server deployments or migration scenarios. There are no examples or guidance for users running SQL Server on Linux, nor are Linux tools or patterns discussed.
Recommendations
- Include explicit guidance and examples for SQL Server on Linux, both as a source and as a target for migration.
- Add links to Linux-specific best practices for SQL Server on Azure VMs (e.g., https://learn.microsoft.com/azure/azure-sql/virtual-machines/linux/).
- Clarify in each section whether the recommendations apply to both Windows and Linux SQL Server instances, or provide separate instructions where they differ.
- Mention and provide examples of Linux-based tools or commands where relevant (e.g., bash scripts, Linux file paths, system resource monitoring).
- Ensure that migration scenarios and readiness checks are described for both Windows and Linux environments.
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Scan History
| Date | Scan | Status | Result |
|---|---|---|---|
| 2026-01-14 00:00 | #250 | in_progress |
Biased
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| 2026-01-13 00:00 | #246 | completed |
Biased
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| 2026-01-11 00:00 | #240 | completed |
Biased
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| 2026-01-10 00:00 | #237 | completed |
Biased
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| 2026-01-09 00:34 | #234 | completed |
Biased
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| 2026-01-08 00:53 | #231 | completed |
Biased
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| 2026-01-06 18:15 | #225 | cancelled |
 Clean
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| 2025-08-17 00:01 | #83 | cancelled |
Clean
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| 2025-07-13 21:37 | #48 | completed |
Biased
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| 2025-07-12 23:44 | #41 | cancelled |
Biased
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| 2025-07-09 13:09 | #3 | cancelled |
Clean
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| 2025-07-08 04:23 | #2 | cancelled |
Biased
|