Document Details
Notebook Examples
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
missing_linux_example
Summary
The documentation page demonstrates how to query the Microsoft Sentinel data lake using Jupyter notebooks, but it exhibits Windows bias by referencing Visual Studio Code and the Microsoft Sentinel extension as the required environment, without mentioning Linux or cross-platform alternatives. There are no examples or guidance for running the notebooks in Linux environments, nor any mention of Linux-specific setup, tools, or troubleshooting. The documentation implicitly assumes a Windows-centric workflow.
Recommendations
- Explicitly state that Jupyter notebooks and the Microsoft Sentinel Python SDK can be used on Linux, macOS, and Windows.
- Provide instructions or examples for setting up and running the notebooks in Linux environments (e.g., using JupyterLab, VS Code on Linux, or command-line tools).
- Mention cross-platform compatibility of the Microsoft Sentinel extension for VS Code, or suggest alternative editors/environments for Linux users.
- Include troubleshooting tips or environment setup steps specific to Linux (e.g., Python installation, Spark setup, package management).
- Add screenshots or references showing notebook execution on Linux systems.
- Avoid language that implies Windows is the default or only supported platform.
Create Pull Request
Scan History
| Date | Scan | Status | Result |
|---|---|---|---|
| 2026-01-14 00:00 | #250 | in_progress |
 Clean
|
| 2026-01-13 00:00 | #246 | completed |
Biased
|
| 2026-01-11 00:00 | #240 | completed |
Biased
|
| 2026-01-10 00:00 | #237 | completed |
Biased
|
| 2026-01-09 00:34 | #234 | completed |
Biased
|
| 2026-01-08 00:53 | #231 | completed |
Biased
|
| 2026-01-06 18:15 | #225 | cancelled |
Clean
|
| 2025-08-22 00:01 | #88 | completed |
Clean
|
| 2025-08-20 00:01 | #86 | completed |
Clean
|
| 2025-08-19 00:01 | #85 | completed |
Clean
|
| 2025-08-17 00:01 | #83 | cancelled |
Clean
|
| 2025-08-11 00:00 | #77 | completed |
Clean
|
| 2025-08-10 00:00 | #76 | completed |
Clean
|
| 2025-08-09 00:00 | #75 | completed |
Clean
|
| 2025-08-08 00:00 | #74 | completed |
Clean
|
| 2025-08-07 00:00 | #73 | completed |
Clean
|
| 2025-08-06 00:00 | #72 | completed |
Clean
|
| 2025-08-05 00:00 | #71 | completed |
Clean
|
| 2025-08-03 00:00 | #69 | completed |
Clean
|
| 2025-08-01 00:00 | #67 | completed |
Clean
|
| 2025-07-23 00:00 | #58 | completed |
Clean
|