Hdinsight

439
Total Pages
279
Linux-Friendly Pages
160
Pages with Bias
36.4%
Bias Rate

Bias Trend Over Time

Pages with Bias Issues

867 issues found
Showing 1-25 of 867 flagged pages
Hdinsight Create, configure Enterprise Security Package clusters - Azure ...in-joined-create-configure-enterprise-security-cluster.md
High Priority View Details →
Scanned: 2026-01-14 00:00
Reviewed by: LLM Analysis
Issues: 4 bias types
Detected Bias Types
Windows First Powershell Heavy 🔧 Windows Tools Missing Linux Example
Summary
The documentation is heavily oriented toward Windows environments, with all setup and configuration steps assuming Windows Server, Active Directory, and Microsoft management tools. All code examples use PowerShell, and instructions for user/group management rely on Windows GUI tools (Server Manager, MMC). There are no Linux/macOS equivalents or alternative instructions, and Windows terminology and tools are presented exclusively and first throughout the guide.
Recommendations
  • Provide equivalent instructions for Linux-based environments, such as using Samba/SSSD for domain joining and LDAP management.
  • Include Bash/CLI examples for network and resource setup, not just PowerShell.
  • Clarify which steps are Windows-only and offer alternatives or workarounds for Linux/macOS users.
  • Add notes or sections for Linux administrators on how to integrate with Microsoft Entra ID and DNS using open-source tools.
  • Where GUI tools are referenced (Server Manager, MMC), offer command-line alternatives or remote management options.
GitHub Create Pull Request
Hdinsight Excel & Apache Hadoop with Open Database Connectivity (ODBC) Driver - Azure HDInsight ...hadoop/apache-hadoop-connect-excel-hive-odbc-driver.md
High Priority View Details →
Scanned: 2026-01-14 00:00
Reviewed by: LLM Analysis
Issues: 3 bias types
Detected Bias Types
Windows First 🔧 Windows Tools Missing Linux Example
Summary
The documentation is heavily focused on Windows, with all instructions and screenshots referencing Windows-specific tools (ODBC Data Source Administrator, Excel for Windows). There are no examples or guidance for Linux or macOS users, nor mention of alternative ODBC setup methods outside Windows. The use of Microsoft Hive ODBC driver and Excel further reinforces the Windows-centric approach.
Recommendations
  • Add instructions for configuring ODBC data sources on Linux and macOS, using unixODBC and relevant drivers.
  • Include examples for connecting to HDInsight Hive from Excel on macOS, or from LibreOffice/other spreadsheet tools available on Linux.
  • Mention cross-platform ODBC drivers (such as Simba Hive ODBC, if available for Linux/macOS) and provide download/setup links.
  • Provide CLI-based configuration steps for ODBC data sources, suitable for non-Windows environments.
  • Clarify platform limitations upfront, and suggest alternative workflows for Linux/macOS users.
GitHub Create Pull Request
Hdinsight Apache Hadoop & Visual Studio Data Lake Tools - Azure HDInsight ...adoop/apache-hadoop-visual-studio-tools-get-started.md
High Priority View Details →
Scanned: 2026-01-14 00:00
Reviewed by: LLM Analysis
Issues: 3 bias types
Detected Bias Types
🔧 Windows Tools Missing Linux Example Windows First
Summary
The documentation is heavily focused on using Data Lake Tools for Visual Studio, a Windows-only tool, to interact with Azure HDInsight and Apache Hadoop. All instructions, screenshots, and workflows are centered around Visual Studio on Windows, with no mention of Linux/macOS alternatives or equivalent tooling. There are no examples or guidance for users on non-Windows platforms, and Windows tools are implicitly presented as the default or only option.
Recommendations
  • Add sections describing how to connect to HDInsight clusters and run Hive queries using cross-platform tools such as VS Code, command-line interfaces (Azure CLI, SSH, Beeline, Hive CLI), or web-based interfaces.
  • Provide Linux/macOS-specific instructions for cluster management, job submission, and data exploration, including relevant screenshots and step-by-step guides.
  • Mention and link to alternative tools (e.g., Apache Hue, Jupyter Notebooks, HDInsight Ambari Web UI) that are accessible from non-Windows platforms.
  • Clearly state the platform limitations of Data Lake Tools for Visual Studio and direct users to parity solutions for Linux/macOS.
  • Ensure that examples and workflows are presented in a platform-neutral way, or provide parallel examples for both Windows and Linux/macOS users.
GitHub Create Pull Request
Hdinsight Connect Excel to Apache Hadoop with Power Query - Azure HDInsight ...ight/hadoop/apache-hadoop-connect-excel-power-query.md
High Priority View Details →
Scanned: 2026-01-14 00:00
Reviewed by: LLM Analysis
Issues: 3 bias types
Detected Bias Types
Windows First Missing Linux Example 🔧 Windows Tools
Summary
The documentation is heavily focused on Windows, requiring a Windows workstation and Microsoft Excel with Power Query, both of which are only available on Windows. There are no examples or guidance for Linux or macOS users, and all instructions assume a Windows environment. The prerequisites and steps are Windows-specific, and alternative cross-platform BI tools or workflows are not mentioned.
Recommendations
  • Add a section describing how Linux and macOS users can access HDInsight data, such as using LibreOffice, Apache Zeppelin, or other cross-platform BI tools.
  • Mention any available web-based alternatives to Power Query for Excel, or clarify the limitations for non-Windows users.
  • Provide parity by including references or links to Linux/macOS-compatible tools for connecting to HDInsight (e.g., Python pandas, R, or command-line utilities).
  • Clearly state the Windows-only nature of the workflow at the beginning, and suggest alternatives for other platforms.
GitHub Create Pull Request
Hdinsight Excel & Apache Hadoop with Open Database Connectivity (ODBC) Driver - Azure HDInsight ...hadoop/apache-hadoop-connect-excel-hive-odbc-driver.md
High Priority View Details →
Scanned: 2026-01-13 00:00
Reviewed by: LLM Analysis
Issues: 3 bias types
Detected Bias Types
Windows First Missing Linux Example 🔧 Windows Tools
Summary
The documentation is heavily Windows-centric, focusing exclusively on Windows tools and workflows (Excel, ODBC Data Source Administrator, Windows menus) without mentioning Linux/macOS alternatives or providing cross-platform guidance. All examples and instructions assume a Windows environment, and there is no information for users on other operating systems.
Recommendations
  • Add instructions for connecting to HDInsight Hive from Excel on macOS (using native ODBC support or third-party drivers).
  • Include Linux/macOS alternatives for configuring ODBC data sources (e.g., using unixODBC, iODBC, or command-line configuration).
  • Mention cross-platform ODBC drivers (such as Simba Hive ODBC, if available for non-Windows) and provide download links.
  • Clarify which steps are Windows-only and provide parity steps for other platforms where possible.
  • If Excel integration is not possible on Linux/macOS, suggest alternative BI tools that work cross-platform (e.g., LibreOffice, Tableau, or Python-based solutions).
GitHub Create Pull Request
Hdinsight Create, configure Enterprise Security Package clusters - Azure ...in-joined-create-configure-enterprise-security-cluster.md
High Priority View Details →
Scanned: 2026-01-13 00:00
Reviewed by: LLM Analysis
Issues: 4 bias types
Detected Bias Types
Windows First Powershell Heavy 🔧 Windows Tools Missing Linux Example
Summary
The documentation is heavily biased toward Windows environments. All configuration steps for the on-premises environment, user/group management, and certificate creation are described using Windows tools (Server Manager, MMC, Remote Desktop, PowerShell). There are no Linux/macOS equivalents or alternative instructions, and Windows-specific terminology and screenshots dominate. Even infrastructure setup scripts are exclusively PowerShell, with no mention of Azure CLI, Bash, or cross-platform alternatives.
Recommendations
  • Provide equivalent instructions for Linux-based domain controllers (e.g., using Samba/SSSD for Active Directory integration).
  • Include Azure CLI and Bash script examples alongside PowerShell for resource creation and networking.
  • Describe how to manage users/groups in Microsoft Entra ID using the Azure portal or cross-platform tools, not just Windows MMC.
  • Offer guidance for certificate creation and export using OpenSSL or other cross-platform utilities.
  • Clarify which steps require Windows and which can be performed from any OS, and offer alternatives where possible.
  • Add screenshots and walkthroughs for Linux/macOS environments where relevant.
GitHub Create Pull Request
Hdinsight Connect Excel to Apache Hadoop with Power Query - Azure HDInsight ...ight/hadoop/apache-hadoop-connect-excel-power-query.md
High Priority View Details →
Scanned: 2026-01-13 00:00
Reviewed by: LLM Analysis
Issues: 3 bias types
Detected Bias Types
Windows First Missing Linux Example 🔧 Windows Tools
Summary
The documentation is heavily focused on Windows environments, requiring a Windows workstation and Microsoft Excel for Power Query. There are no instructions or examples for Linux or macOS users, and all tooling (Excel, Power Query) is Windows-centric. The prerequisites and steps assume Windows-only usage, with no mention of alternatives for other platforms.
Recommendations
  • Add guidance for Linux/macOS users, such as alternative BI tools (e.g., LibreOffice, OpenOffice, or web-based solutions) that can connect to HDInsight.
  • Include steps for accessing HDInsight data from non-Windows platforms, possibly using Python, R, or other cross-platform tools.
  • Clarify platform limitations in the prerequisites and suggest workarounds or alternatives for non-Windows users.
  • Provide parity by including Linux/macOS-specific instructions or links to relevant documentation.
GitHub Create Pull Request
Hdinsight Security: Migrate on-premises Apache Hadoop to Azure HDInsight ...p-on-premises-migration-best-practices-security-devops.md
High Priority View Details →
Scanned: 2026-01-13 00:00
Reviewed by: LLM Analysis
Issues: 3 bias types
Detected Bias Types
🔧 Windows Tools Windows First Missing Linux Example
Summary
The documentation page demonstrates a notable Windows bias by exclusively referencing Microsoft Entra Domain Services, Active Directory, and related Windows-centric tools and patterns for cluster security and management. There are no examples or guidance for Linux-native identity providers (such as LDAP, Kerberos, or FreeIPA), nor are Linux command-line tools or patterns mentioned. All configuration steps and terminology are Windows/AD-centric, making it difficult for organizations using Linux-based identity solutions to follow or adapt the guidance.
Recommendations
  • Include examples and guidance for integrating HDInsight clusters with Linux-native identity providers (e.g., OpenLDAP, FreeIPA, MIT Kerberos).
  • Provide alternative steps for cluster security setup using non-Windows authentication and authorization systems.
  • Mention and link to documentation for Linux-based tools and patterns where applicable.
  • Clearly state any limitations or requirements regarding supported identity providers and platforms.
  • Add parity in examples, showing both Windows/AD and Linux/LDAP/Kerberos scenarios for cluster configuration and security.
GitHub Create Pull Request
Hdinsight Apache Hadoop & Visual Studio Data Lake Tools - Azure HDInsight ...adoop/apache-hadoop-visual-studio-tools-get-started.md
High Priority View Details →
Scanned: 2026-01-13 00:00
Reviewed by: LLM Analysis
Issues: 3 bias types
Detected Bias Types
🔧 Windows Tools Missing Linux Example Windows First
Summary
The documentation is heavily focused on the use of Data Lake Tools for Visual Studio, which is a Windows-only tool. All examples, instructions, and screenshots are based on Visual Studio, with no mention of Linux/macOS alternatives or equivalent tooling. There are no instructions for performing similar tasks from Linux or macOS, nor are cross-platform command-line or IDE options discussed. Windows/Visual Studio tooling is assumed throughout, and Linux users are left without guidance.
Recommendations
  • Add sections describing how to connect to HDInsight clusters and run Hive queries from Linux/macOS using cross-platform tools such as VS Code, IntelliJ, Eclipse, or command-line utilities (e.g., Beeline, Hive CLI, Azure CLI).
  • Provide examples for running Hive queries and managing clusters using PowerShell (for Windows) and Bash/Azure CLI (for Linux/macOS).
  • Include links to documentation for Linux/macOS-compatible tools and workflows.
  • Clearly state the platform limitations of Data Lake Tools for Visual Studio at the beginning of the document.
  • Consider reordering or supplementing examples so that Linux/macOS options are presented alongside or before Windows-specific instructions.
GitHub Create Pull Request
Hdinsight LDAP sync in Ranger and Apache Ambari in Azure HDInsight ...lob/main/articles/hdinsight/domain-joined/ldap-sync.md
High Priority View Details →
Scanned: 2026-01-11 00:00
Reviewed by: LLM Analysis
Issues: 3 bias types
Detected Bias Types
🔧 Windows Tools Windows First Missing Linux Example
Summary
The documentation demonstrates a Windows bias by referencing Windows-specific tools (e.g., ldp.exe, sAMAccountName, Samba/Winbind) and providing examples or instructions that assume a Windows-centric environment. Linux equivalents (such as ldapsearch) are not mentioned, and Windows tools are listed before alternatives. There are no explicit Linux command examples for testing LDAP filters or troubleshooting sync issues.
Recommendations
  • Include Linux-native tools (e.g., ldapsearch, ldapscripts) alongside Windows tools for LDAP filter testing and troubleshooting.
  • Provide example commands for both Windows and Linux environments when referencing LDAP sync validation (e.g., show how to use ldapsearch to test filters).
  • Clarify the role of Samba/Winbind in Linux environments and mention alternatives or configuration steps for non-Windows clusters.
  • Ensure documentation sections do not assume Windows-first workflows and explicitly address cross-platform usage.
  • Add troubleshooting steps and log locations relevant to Linux systems, not just those inherited from Windows-centric setups.
GitHub Create Pull Request
Hdinsight Enterprise security general guidelines in Azure HDInsight ...articles/hdinsight/domain-joined/general-guidelines.md
High Priority View Details →
Scanned: 2026-01-11 00:00
Reviewed by: LLM Analysis
Issues: 4 bias types
Detected Bias Types
🔧 Windows Tools Windows First Powershell Heavy Missing Linux Example
Summary
The documentation page demonstrates a moderate Windows bias. It references Windows-centric tools and concepts (Active Directory, Kerberos/NTLM, Ambari UI, Microsoft Entra Domain Services) and administrative patterns familiar to Windows administrators. Windows tools and terminology (OU, domain join, AD Connect, SAMAccountName, etc.) are used throughout, often without Linux equivalents or cross-platform alternatives. Where command-line examples are given (e.g., keytab generation), only Linux/Unix commands are shown, but the majority of configuration and troubleshooting guidance assumes a Windows-oriented environment. There are no PowerShell examples, but the documentation is heavily oriented toward Windows infrastructure and management paradigms, with little mention of Linux-native identity management or open-source alternatives.
Recommendations
  • Provide explicit Linux equivalents or alternatives for Windows-centric concepts (e.g., discuss integration with Linux-native LDAP/Kerberos setups, or alternatives to Active Directory).
  • Include Linux command-line examples for administrative tasks (e.g., managing Ranger audit logs, user sync, certificate renewal) alongside any Windows GUI or tool instructions.
  • Clarify which steps are OS-agnostic and which are specific to Windows, and offer guidance for Linux administrators where possible.
  • Reference open-source or cross-platform tools (such as OpenLDAP, MIT Kerberos) where appropriate, and discuss how they could be integrated with HDInsight clusters.
  • Balance the documentation by mentioning Linux-first or cloud-native identity management approaches, not just Microsoft/Windows-centric ones.
GitHub Create Pull Request
Hdinsight Extract, transform, and load (ETL) at scale - Azure HDInsight ...rticles/hdinsight/hadoop/apache-hadoop-etl-at-scale.md
High Priority View Details →
Scanned: 2026-01-11 00:00
Reviewed by: LLM Analysis
Issues: 3 bias types
Detected Bias Types
Windows First Powershell Heavy Missing Linux Example
Summary
The documentation page demonstrates a Windows bias by referencing Windows-centric tools and patterns first or exclusively. Data ingestion into Azure Storage is described primarily via PowerShell, AzCopy, and the Azure Storage SDK, with no mention of Linux CLI equivalents or examples. The use of PowerShell is highlighted as a primary method, and Linux-native tools (such as curl, wget, or Linux shell scripting) are not discussed. While Apache Hadoop components are cross-platform, the documentation does not provide Linux-specific guidance or parity in examples, especially for data upload and orchestration steps.
Recommendations
  • Include Linux CLI examples for data ingestion, such as using Azure CLI, curl, wget, or shell scripts.
  • Mention cross-platform tools (e.g., AzCopy is available on Linux) and provide explicit Linux usage instructions.
  • Balance references to PowerShell with Bash or other Linux shell equivalents.
  • Add links to documentation or quickstarts for Linux users, especially for common ETL tasks.
  • Ensure orchestration and ingestion sections provide parity for both Windows and Linux environments.
GitHub Create Pull Request
Hdinsight Authentication issues in Azure HDInsight ...t/domain-joined/domain-joined-authentication-issues.md
High Priority View Details →
Scanned: 2026-01-11 00:00
Reviewed by: LLM Analysis
Issues: 3 bias types
Detected Bias Types
Windows First 🔧 Windows Tools Missing Linux Example
Summary
The documentation page demonstrates a Windows bias by referencing Windows AD tools and domain-joined Windows machines as primary methods for directory browsing and troubleshooting. Linux alternatives (such as using Samba commands) are mentioned only after Windows options, and some troubleshooting steps lack explicit Linux/POSIX command examples or parity. There are no PowerShell-specific examples, but the overall troubleshooting flow assumes familiarity with Windows environments and tools.
Recommendations
  • Present Linux and Windows troubleshooting methods side-by-side, ensuring equal prominence.
  • Provide explicit Linux command examples (e.g., using ldapsearch, getent, or Samba tools) for directory browsing and user attribute lookup.
  • Include instructions for performing relevant tasks from Linux-only environments, such as using kinit, klist, and other Kerberos utilities.
  • Avoid referencing Windows tools or environments first; instead, introduce both platforms together or alternate the order.
  • Clarify which steps are platform-agnostic and which require OS-specific actions, and provide guidance for both.
GitHub Create Pull Request
Hdinsight Infrastructure: On-premises Apache Hadoop to Azure HDInsight ...op-on-premises-migration-best-practices-infrastructure.md
High Priority View Details →
Scanned: 2026-01-11 00:00
Reviewed by: LLM Analysis
Issues: 4 bias types
Detected Bias Types
Powershell Heavy 🔧 Windows Tools Windows First Missing Linux Example
Summary
The documentation page exhibits Windows bias primarily in the 'Customize HDInsight configs using Bootstrap' section, where only a PowerShell example using the AZ module is provided for cluster configuration. There is no equivalent example for Linux users (e.g., Bash/CLI/ARM template), and the use of PowerShell and Windows-centric Azure tools is emphasized. Additionally, Windows tools and patterns (PowerShell, AZ module) are mentioned before any Linux alternatives, and Linux-specific instructions are missing in key configuration sections.
Recommendations
  • Provide equivalent Linux/Bash examples for cluster configuration, such as using Azure CLI or ARM templates.
  • Include instructions for managing HDInsight clusters using Linux-native tools and scripts, not just PowerShell.
  • Ensure that examples and tooling references are presented in parallel for both Windows and Linux users.
  • Add explicit guidance for Linux users in sections where only Windows/PowerShell instructions are given.
  • Review other sections for subtle Windows-first language or tool references and balance with Linux alternatives.
GitHub Create Pull Request
Hdinsight What is Apache Hive and HiveQL - Azure HDInsight ...b/main/articles/hdinsight/hadoop/hdinsight-use-hive.md
High Priority View Details →
Scanned: 2026-01-11 00:00
Reviewed by: LLM Analysis
Issues: 3 bias types
Detected Bias Types
🔧 Windows Tools Windows First Powershell Heavy
Summary
The documentation page includes several references to Windows-specific tools (Visual Studio, PowerShell, SQL Server Integration Services) and lists Windows options before or more prominently than Linux equivalents. While Linux-compatible options are present (Beeline, REST API, Oozie, VS Code), Windows tools are given dedicated sections and examples, and PowerShell is included as a method for running Hive queries, without a Linux shell equivalent. The scheduling section also highlights SSIS, a Windows-centric tool, before mentioning Apache Oozie.
Recommendations
  • Add equivalent Linux shell examples (e.g., Bash scripts for Hive queries) alongside PowerShell examples.
  • Ensure Linux-native tools (such as Beeline, REST API, Oozie) are listed before or alongside Windows-specific tools in tables and sections.
  • Provide more detailed walkthroughs for Linux/Unix/macOS users, especially for scheduling and automation (e.g., using cron, shell scripts, or Airflow).
  • Balance the coverage of Visual Studio (Windows-only) with more information about cross-platform IDEs and editors (e.g., VS Code, IntelliJ, Jupyter).
  • Include explicit Linux command-line examples for common Hive operations, not just references to tools.
GitHub Create Pull Request
Hdinsight Run Apache Sqoop jobs with Azure HDInsight (Apache Hadoop) .../main/articles/hdinsight/hadoop/hdinsight-use-sqoop.md
High Priority View Details →
Scanned: 2026-01-11 00:00
Reviewed by: LLM Analysis
Issues: 4 bias types
Detected Bias Types
Powershell Heavy 🔧 Windows Tools Windows First Missing Linux Example
Summary
The documentation page demonstrates a Windows bias by focusing on Azure PowerShell as the primary method for running Sqoop jobs, referencing Windows-specific tools (.NET SDK, PowerShell) before Linux alternatives, and lacking explicit Linux command-line examples. The walkthroughs and instructions prioritize Windows-centric approaches, with Linux methods mentioned but not detailed or exemplified in the main content.
Recommendations
  • Provide explicit Linux command-line examples for running Sqoop jobs via SSH, including sample bash commands.
  • Reorder the client operating system table to list Linux/Unix/macOS methods first, reflecting the native environment for Hadoop/Sqoop.
  • Include walkthroughs or links for Linux and macOS users in the main flow, not just as alternatives.
  • Balance the coverage of PowerShell and .NET SDK with equivalent Linux tools (e.g., bash scripts, SSH usage).
  • Clarify limitations and workarounds for Linux users, especially regarding bulk export and batching, with practical examples.
GitHub Create Pull Request
Hdinsight Quickstart: Query Apache HBase in Azure HDInsight - HBase Shell ...ticles/hdinsight/hbase/query-hbase-with-hbase-shell.md
High Priority View Details →
Scanned: 2026-01-11 00:00
Reviewed by: LLM Analysis
Issues: 3 bias types
Detected Bias Types
Windows First Powershell Heavy 🔧 Windows Tools
Summary
The documentation page demonstrates a Windows bias in several ways. The SSH connection example uses the 'cmd' code block type, which is associated with Windows command prompt, even though the actual command is cross-platform. In the 'Clean up resources' section, PowerShell is mentioned as a primary method for deleting clusters, and Windows tools are referenced before Linux equivalents. There is no explicit Linux example or parity in tool recommendations, and the documentation does not provide Linux-specific instructions or alternatives.
Recommendations
  • Use neutral or platform-appropriate code block types (e.g., 'bash' instead of 'cmd') for cross-platform commands.
  • Provide explicit Linux examples and instructions alongside Windows examples, especially for cluster management and resource cleanup.
  • Mention Linux tools (such as Bash scripts or Azure CLI on Linux) before or alongside Windows tools like PowerShell.
  • Clarify that commands (such as SSH) work on both Windows and Linux, and provide guidance for both platforms.
  • Add links to Linux-specific documentation or tutorials where relevant.
GitHub Create Pull Request
Hdinsight Install third-party applications on Azure HDInsight ...icles/hdinsight/hdinsight-apps-install-applications.md
High Priority View Details →
Scanned: 2026-01-11 00:00
Reviewed by: LLM Analysis
Issues: 4 bias types
Detected Bias Types
Windows First Powershell Heavy 🔧 Windows Tools Missing Linux Example
Summary
The documentation page demonstrates a Windows bias by referencing Azure PowerShell and Azure Classic CLI as deployment methods, without mentioning Linux-native tools (such as Azure CLI for Bash or direct SSH/script usage) in the main instructions. The examples and procedures focus exclusively on the Azure portal (a web interface often used from Windows environments) and PowerShell, with no Linux command-line or scripting examples. Windows-centric terminology and tools are mentioned before any Linux equivalents, and there is a lack of parity in providing Linux-specific instructions or examples.
Recommendations
  • Include Azure CLI (Linux/Bash) instructions alongside Azure PowerShell for deploying Resource Manager templates and managing HDInsight applications.
  • Provide Linux shell (bash) examples for connecting to edge nodes, installing applications, and managing clusters.
  • Explicitly mention that the Azure portal and Azure CLI are cross-platform, and provide guidance for Linux users on how to perform tasks from a Linux environment.
  • Add links or sections for Linux-native troubleshooting and management tools.
  • Ensure that any references to Windows tools are balanced with Linux equivalents, and avoid listing Windows-centric tools first unless there is a technical reason.
GitHub Create Pull Request
Hdinsight Cluster capacity planning in Azure HDInsight ...main/articles/hdinsight/hdinsight-capacity-planning.md
High Priority View Details →
Scanned: 2026-01-11 00:00
Reviewed by: LLM Analysis
Issues: 3 bias types
Detected Bias Types
Powershell Heavy 🔧 Windows Tools Windows First
Summary
The documentation page demonstrates a mild Windows bias by mentioning PowerShell scripting and Azure Automation as the primary examples for cluster lifecycle management. These Windows-centric tools are referenced before any Linux alternatives, and no Linux-native scripting or automation examples (such as Bash scripts or cron jobs) are provided. The screenshots and portal instructions are platform-neutral, but the scripting/automation guidance leans toward Windows users.
Recommendations
  • Include examples of using Bash scripts for provisioning and deleting clusters, alongside PowerShell.
  • Mention Linux-native automation tools such as cron or systemd timers for scheduling cluster operations.
  • Explicitly state that both Windows and Linux users can automate cluster management, and provide parity in example scripts.
  • Where PowerShell is referenced, add equivalent CLI or Bash commands for Linux users.
  • Review other sections for subtle platform assumptions and clarify where steps are platform-agnostic.
GitHub Create Pull Request
Hdinsight Use SSH with Hadoop - Azure HDInsight ...icles/hdinsight/hdinsight-hadoop-linux-use-ssh-unix.md
High Priority View Details →
Scanned: 2026-01-11 00:00
Reviewed by: LLM Analysis
Issues: 3 bias types
Detected Bias Types
Windows First Powershell Heavy 🔧 Windows Tools
Summary
The documentation provides SSH usage instructions for HDInsight and claims to cover Windows, Linux, Unix, and macOS clients. However, there is a noticeable Windows bias: Windows tools and patterns (such as PowerShell and Windows-specific SSH clients) are mentioned first or in more detail, and PowerShell examples are given for cluster creation before Linux equivalents. Windows SSH client installation is discussed at length, while Linux is treated as having SSH pre-installed and thus receives less attention. The use of Azure PowerShell is highlighted for cluster creation, with Linux/CLI examples following. There are no Linux-specific graphical SSH client recommendations, and the overall flow assumes a Windows user's perspective.
Recommendations
  • Present Linux and Windows instructions in parallel, rather than Windows-first.
  • Provide equal detail for Linux and Windows SSH client installation and usage.
  • Include Linux-native graphical SSH client examples (e.g., GNOME Terminal, Konsole, Remmina).
  • Add more Linux/Unix/macOS command-line examples for cluster creation and management, not just PowerShell.
  • Clarify which instructions are OS-agnostic and which are platform-specific.
  • Avoid using PowerShell as the default example; use Azure CLI or bash where possible for cross-platform parity.
GitHub Create Pull Request
Hdinsight Tutorial: On-demand clusters in Azure HDInsight with Data Factory ...dinsight/hdinsight-hadoop-create-linux-clusters-adf.md
High Priority View Details →
Scanned: 2026-01-11 00:00
Reviewed by: LLM Analysis
Issues: 3 bias types
Detected Bias Types
Powershell Heavy Windows First Missing Linux Example
Summary
The documentation page exhibits Windows bias by exclusively providing PowerShell scripts for resource creation and setup, without offering equivalent Bash/CLI examples for Linux or macOS users. The prerequisites and instructions assume the use of PowerShell and do not mention or demonstrate how to perform these steps using Azure CLI or Bash. This prioritizes Windows tooling and patterns, making it less accessible for users on Linux platforms.
Recommendations
  • Provide equivalent Azure CLI (az) or Bash scripts alongside PowerShell examples for all resource creation and management steps.
  • Update the prerequisites section to mention both PowerShell and Azure CLI, with links to installation guides for each.
  • Clearly indicate which instructions are platform-specific and offer alternatives for Linux/macOS users.
  • Add a selector or toggle at the top of the tutorial allowing users to choose between Windows/PowerShell and Linux/Azure CLI workflows.
  • Ensure screenshots and UI instructions are not Windows-centric, or provide notes for Linux/macOS differences where applicable.
GitHub Create Pull Request
Hdinsight Apache Hadoop architecture - Azure HDInsight ...in/articles/hdinsight/hdinsight-hadoop-architecture.md
High Priority View Details →
Scanned: 2026-01-11 00:00
Reviewed by: LLM Analysis
Issues: 3 bias types
Detected Bias Types
Powershell Heavy 🔧 Windows Tools Missing Linux Example
Summary
The documentation page shows evidence of Windows bias in the 'Soft delete' section, where the only command-line example for Azure Data Lake Storage Gen 1 is a PowerShell cmdlet (Restore-AzDataLakeStoreDeletedItem), with no equivalent Linux/Unix shell or CLI example provided. There is no mention of Linux tools or patterns, and no Bash/Azure CLI commands are given for file recovery or management tasks. The documentation assumes familiarity with Windows/PowerShell tooling and omits Linux-centric approaches.
Recommendations
  • Provide equivalent Linux/Bash/Azure CLI examples for file recovery and management tasks, especially for Azure Data Lake Storage Gen 1 and Gen 2.
  • Mention and demonstrate cross-platform tools (e.g., Azure CLI, REST API via curl) alongside PowerShell cmdlets.
  • Explicitly state platform compatibility for each example and tool, clarifying whether commands work on Windows, Linux, or both.
  • Consider reordering examples to present cross-platform or Linux options first, or in parallel with Windows/PowerShell options.
GitHub Create Pull Request
Hdinsight Granular role-based access Azure HDInsight cluster configurations ...insight-migrate-granular-access-cluster-configurations.md
High Priority View Details →
Scanned: 2026-01-11 00:00
Reviewed by: LLM Analysis
Issues: 3 bias types
Detected Bias Types
🔧 Windows Tools Windows First Powershell Heavy
Summary
The documentation page demonstrates a Windows bias by prominently featuring Windows-centric tools (Visual Studio, PowerShell) and providing detailed migration steps for Az.HDInsight PowerShell. Windows tools are listed before their Linux or cross-platform equivalents, and PowerShell is the only command-line example given for HDInsight-specific operations. There are no Bash, Linux, or cross-platform CLI examples for HDInsight management, and the update instructions for tools are focused on Windows IDEs.
Recommendations
  • Include migration steps and examples for Bash/Azure CLI and cross-platform scripting for HDInsight cluster management.
  • Provide Linux-specific instructions or note Linux compatibility for SDKs and tools.
  • Add equivalent examples for managing HDInsight clusters using Bash, Python scripts, or other cross-platform tools.
  • List cross-platform tools (Azure CLI, SDKs) before Windows-only tools in affected scenarios.
  • Clarify which tools are cross-platform and which are Windows-only, and provide parity in documentation coverage.
GitHub Create Pull Request
Hdinsight What is Interactive Query in Azure HDInsight? ...eractive-query/apache-interactive-query-get-started.md
High Priority View Details →
Scanned: 2026-01-11 00:00
Reviewed by: LLM Analysis
Issues: 3 bias types
Detected Bias Types
🔧 Windows Tools Windows First Missing Linux Example
Summary
The documentation page demonstrates Windows bias by prioritizing Windows-centric tools (Power BI, Visual Studio, Excel with Hive ODBC) in its examples and recommendations. Linux-native tools and workflows (e.g., command-line Beeline, Zeppelin) are mentioned later or with less detail. There are no explicit Linux command-line examples or references to Linux desktop BI tools, and the guidance for connecting and querying is focused on Windows environments.
Recommendations
  • Add explicit Linux command-line examples for connecting to Hive LLAP using Beeline, including sample commands.
  • Include references and examples for Linux-compatible BI tools (e.g., DBeaver, SQuirreL SQL, Tableau on Linux) where appropriate.
  • Present tool options in a platform-neutral order or group them by OS compatibility, rather than listing Windows tools first.
  • Provide guidance for accessing Hive LLAP from Linux environments, such as using JDBC/ODBC drivers on Linux.
  • Clarify which tools are cross-platform and highlight any limitations or alternatives for Linux users.
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Hdinsight Use Apache Spark REST API to submit remote jobs to an Entra enabled HDInsight Spark cluster ...-entra-authentication/run-spark-jobs-using-rest-api.md
High Priority View Details →
Scanned: 2026-01-11 00:00
Reviewed by: LLM Analysis
Issues: 3 bias types
Detected Bias Types
Windows First Missing Linux Example 🔧 Windows Tools
Summary
The documentation page demonstrates a Windows bias by presenting all command-line examples using Windows-specific syntax (cmd), referencing Windows file paths (e.g., C:\Temp\input.txt), and using Windows environment variable setting (set). There are no Linux or macOS shell equivalents (e.g., bash, export, /tmp/input.txt) provided, and instructions explicitly state that examples are based on a Windows environment. Additionally, tools like AzCopy are mentioned without noting Linux alternatives or usage patterns.
Recommendations
  • Provide Linux/macOS shell equivalents for all command-line examples, using bash syntax, environment variable setting (export), and Linux file paths (/tmp/input.txt).
  • Include notes or sections for Linux users, clarifying differences in command usage and file paths.
  • When referencing tools like AzCopy, mention their cross-platform availability and provide example usage for Linux.
  • Avoid language that assumes a Windows environment as default; instead, present instructions for both Windows and Linux/macOS in parallel or note differences explicitly.
  • Add a table or sidebar summarizing command differences between Windows and Linux/macOS for quick reference.
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