Merge pull request #224740 from whhender/more-30-adla-review

More 30 adla review

Author: Court72

articles/data-lake-analytics/data-lake-analytics-add-users.md

@@ -2,48 +2,48 @@
 title: Add users to an Azure Data Lake Analytics account
 description: Learn how to correctly add users to your Data Lake Analytics account using the Add User Wizard and Azure PowerShell.
 ms.service: data-lake-analytics
-ms.reviewer: jasonh
+ms.reviewer: whhender
 ms.topic: how-to
-ms.date: 05/24/2018
+ms.date: 01/20/2023
 ---
 
 # Adding a user in the Azure portal
 
 [!INCLUDE [retirement-flag](includes/retirement-flag.md)]
 
 ## Start the Add User Wizard
-1. Open your Azure Data Lake Analytics via https://portal.azure.com.
-2. Click **Add User Wizard**.
-3. In the **Select user** step, find the user you want to add. Click **Select**.
-4. the **Select role** step, pick **Data Lake Analytics Developer**. This role has the minimum set of permissions required to submit/monitor/manage U-SQL jobs. Assign to this role if the group is not intended for managing Azure services.
-5. In the **Select catalog permissions** step, select any additional databases that user will need access to. Read and Write Access to the default static database called "master" is required to submit jobs. When you are done, click **OK**.
-6. In the final step called **Assign selected permissions** review the changes the wizard will make. Click **OK**.
 
+1. Open your Azure Data Lake Analytics via https://portal.azure.com.
+2. Select **Add User Wizard**.
+3. In the **Select user** step, find the user you want to add. Select **Select**.
+4. the **Select role** step, pick **Data Lake Analytics Developer**. This role has the minimum set of permissions required to submit/monitor/manage U-SQL jobs. Assign to this role if the group isn't intended for managing Azure services.
+5. In the **Select catalog permissions** step, select any other databases that user will need access to. Read and Write Access to the default static database called "master" is required to submit jobs. When you're done, select **OK**.
+6. In the final step called **Assign selected permissions** review the changes the wizard will make. Select **OK**.
 
 ## Configure ACLs for data folders
+
 Grant "R-X" or "RWX", as needed, on folders containing input data and output data.
 
+## Optionally, add the user to the Azure Data Lake Storage Gen1 role **Reader** role
 
-## Optionally, add the user to the Azure Data Lake Storage Gen1 role **Reader** role.
-1.	Find your Azure Data Lake Storage Gen1 account.
-2.	Click on **Users**.
-3. Click **Add**.
-4.	Select an Azure role to assign this group.
-5.	Assign to Reader role. This role has the minimum set of permissions required to browse/manage data stored in ADLSGen1. Assign to this role if the Group is not intended for managing Azure services.
-6.	Type in the name of the Group.
-7.	Click **OK**.
+1. Find your Azure Data Lake Storage Gen1 account.
+2. Select **Users**.
+3. Select **Add**.
+4. Select an Azure role to assign this group.
+5. Assign to Reader role. This role has the minimum set of permissions required to browse/manage data stored in ADLSGen1. Assign to this role if the Group isn't intended for managing Azure services.
+6. Type in the name of the Group.
+7. Select **OK**.
 
 ## Adding a user using PowerShell
 
 1. Follow the instructions in this guide: [How to install and configure Azure PowerShell](/powershell/azure/).
 2. Download the [Add-AdlaJobUser.ps1](https://github.com/Azure/AzureDataLake/blob/master/Samples/PowerShell/ADLAUsers/Add-AdlaJobUser.ps1) PowerShell script.
-3. Run the PowerShell script. 
+3. Run the PowerShell script.
 
 The sample command to give user access to submit jobs, view new job metadata, and view old metadata is:
 
 `Add-AdlaJobUser.ps1 -Account myadlsaccount -EntityToAdd 546e153e-0ecf-417b-ab7f-aa01ce4a7bff -EntityType User -FullReplication`
 
-
 ## Next steps
 
 * [Overview of Azure Data Lake Analytics](data-lake-analytics-overview.md)

articles/data-lake-analytics/data-lake-analytics-analyze-weblogs.md

@@ -1,10 +1,10 @@
 ---
 title: Analyze Website logs using Azure Data Lake Analytics
 description: Learn how to analyze website logs using Azure Data Lake Analytics to run U-SQL functions and queries.
-ms.reviewer: jasonh
+ms.reviewer: whhender
 ms.service: data-lake-analytics
 ms.topic: how-to
-ms.date: 12/05/2016
+ms.date: 01/20/2023
 ---
 # Analyze Website logs using Azure Data Lake Analytics
 Learn how to analyze website logs using Data Lake Analytics, especially on finding out which referrers ran into errors when they tried to visit the website.
@@ -15,29 +15,29 @@ Learn how to analyze website logs using Data Lake Analytics, especially on findi
 * **Visual Studio 2015 or Visual Studio 2013**.
 * **[Data Lake Tools for Visual Studio](https://aka.ms/adltoolsvs)**.
 
-    Once Data Lake Tools for Visual Studio is installed, you will see a **Data Lake** item in the **Tools** menu in Visual Studio:
+    Once Data Lake Tools for Visual Studio is installed, you'll see a **Data Lake** item in the **Tools** menu in Visual Studio:
 
     ![U-SQL Visual Studio menu](./media/data-lake-analytics-data-lake-tools-get-started/data-lake-analytics-data-lake-tools-menu.png)
 * **Basic knowledge of Data Lake Analytics and the Data Lake Tools for Visual Studio**. To get started, see:
 
   * [Develop U-SQL script using Data Lake tools for Visual Studio](data-lake-analytics-data-lake-tools-get-started.md).
 * **A Data Lake Analytics account.**  See [Create an Azure Data Lake Analytics account](data-lake-analytics-get-started-portal.md).
-* **Install the sample data.** In the Azure Portal, open you Data Lake Analytics account and click **Sample Scripts** on the left menu, then click **Copy Sample Data**. 
+* **Install the sample data.** In the Azure portal, open your Data Lake Analytics account and select **Sample Scripts** on the left menu, then select **Copy Sample Data**. 
 
 ## Connect to Azure
 Before you can build and test any U-SQL scripts, you must first connect to Azure.
 
 ### To connect to Data Lake Analytics
 
 1. Open Visual Studio.
-2. Click **Data Lake > Options and Settings**.
-3. Click **Sign In**, or **Change User** if someone has signed in, and follow the instructions.
-4. Click **OK** to close the Options and Settings dialog.
+2. Select **Data Lake > Options and Settings**.
+3. Select **Sign In**, or **Change User** if someone has signed in, and follow the instructions.
+4. Select **OK** to close the Options and Settings dialog.
 
 ### To browse your Data Lake Analytics accounts
 
 1. From Visual Studio, open **Server Explorer** by press **CTRL+ALT+S**.
-2. From **Server Explorer**, expand **Azure**, and then expand **Data Lake Analytics**. You shall see a list of your Data Lake Analytics accounts if there are any. You cannot create Data Lake Analytics accounts from the studio. To create an account, see [Get Started with Azure Data Lake Analytics using Azure Portal](data-lake-analytics-get-started-portal.md) or [Get Started with Azure Data Lake Analytics using Azure PowerShell](data-lake-analytics-get-started-powershell.md).
+2. From **Server Explorer**, expand **Azure**, and then expand **Data Lake Analytics**. You shall see a list of your Data Lake Analytics accounts if there are any. You can't create Data Lake Analytics accounts from the studio. To create an account, see [Get Started with Azure Data Lake Analytics using Azure portal](data-lake-analytics-get-started-portal.md) or [Get Started with Azure Data Lake Analytics using Azure PowerShell](data-lake-analytics-get-started-powershell.md).
 
 ## Develop U-SQL application
 A U-SQL application is mostly a U-SQL script. To learn more about U-SQL, see [Get started with U-SQL](data-lake-analytics-u-sql-get-started.md).
@@ -46,13 +46,13 @@ You can add addition user-defined operators to the application.  For more inform
 
 ### To create and submit a Data Lake Analytics job
 
-1. Click the **File > New > Project**.
+1. Select the **File > New > Project**.
 
 2. Select the U-SQL Project type.
 
    ![new U-SQL Visual Studio project](./media/data-lake-analytics-data-lake-tools-get-started/data-lake-analytics-data-lake-tools-new-project.png)
 
-3. Click **OK**. Visual studio creates a solution with a Script.usql file.
+3. Select **OK**. Visual studio creates a solution with a Script.usql file.
 
 4. Enter the following script into the Script.usql file:
 
@@ -153,13 +153,13 @@ You can add addition user-defined operators to the application.  For more inform
 
 6. Switch back to the first U-SQL script and next to the **Submit** button, specify your Analytics account.
 
-7. From **Solution Explorer**, right click **Script.usql**, and then click **Build Script**. Verify the results in the Output pane.
+7. From **Solution Explorer**, right select **Script.usql**, and then select **Build Script**. Verify the results in the Output pane.
 
-8. From **Solution Explorer**, right click **Script.usql**, and then click **Submit Script**.
+8. From **Solution Explorer**, right select **Script.usql**, and then select **Submit Script**.
 
-9. Verify the **Analytics Account** is the one where you want to run the job, and then click **Submit**. Submission results and job link are available in the Data Lake Tools for Visual Studio Results window when the submission is completed.
+9. Verify the **Analytics Account** is the one where you want to run the job, and then select **Submit**. Submission results and job link are available in the Data Lake Tools for Visual Studio Results window when the submission is completed.
 
-10. Wait until the job is completed successfully.  If the job failed, it is most likely missing the source file.  Please see the Prerequisite section of this tutorial. For additional troubleshooting information, see [Monitor and troubleshoot Azure Data Lake Analytics jobs](data-lake-analytics-monitor-and-troubleshoot-jobs-tutorial.md).
+10. Wait until the job is completed successfully.  If the job failed, it's most likely missing the source file.  See the Prerequisite section of this tutorial. For more troubleshooting information, see [Monitor and troubleshoot Azure Data Lake Analytics jobs](data-lake-analytics-monitor-and-troubleshoot-jobs-tutorial.md).
 
     When the job is completed, you shall see the following screen:
 
@@ -169,14 +169,14 @@ You can add addition user-defined operators to the application.  For more inform
 
 ### To see the job output
 
-1. From **Server Explorer**, expand **Azure**, expand **Data Lake Analytics**, expand your Data Lake Analytics account, expand **Storage Accounts**, right-click the default Data Lake Storage account, and then click **Explorer**.
+1. From **Server Explorer**, expand **Azure**, expand **Data Lake Analytics**, expand your Data Lake Analytics account, expand **Storage Accounts**, right-click the default Data Lake Storage account, and then select **Explorer**.
 2. Double-click **Samples** to open the folder, and then double-click **Outputs**.
 3. Double-click **UnsuccessfulResponses.log**.
 4. You can also double-click the output file inside the graph view of the job in order to navigate directly to the output.
 
 ## Next steps
 To get started with Data Lake Analytics using different tools, see:
 
-* [Get started with Data Lake Analytics using Azure Portal](data-lake-analytics-get-started-portal.md)
+* [Get started with Data Lake Analytics using Azure portal](data-lake-analytics-get-started-portal.md)
 * [Get started with Data Lake Analytics using Azure PowerShell](data-lake-analytics-get-started-powershell.md)
 * [Get started with Data Lake Analytics using .NET SDK](./data-lake-analytics-get-started-cli.md)

articles/data-lake-analytics/data-lake-analytics-cicd-overview.md

@@ -3,7 +3,7 @@ title: How to set up a CI/CD pipeline for Azure Data Lake Analytics
 description: Learn how to set up continuous integration and continuous deployment for Azure Data Lake Analytics.
 ms.service: data-lake-analytics
 ms.topic: how-to
-ms.date: 09/14/2018 
+ms.date: 01/20/2023
 ms.custom: devx-track-azurepowershell
 ---
 # How to set up a CI/CD pipeline for Azure Data Lake Analytics  
@@ -62,7 +62,7 @@ Learn more about [U-SQL database project](data-lake-analytics-data-lake-tools-de
 
 ### Build a U-SQL project with the MSBuild command line
 
-First migrate the project and get the NuGet package. Then call the standard MSBuild command line with the following additional arguments to build your U-SQL project:
+First migrate the project and get the NuGet package. Then call the standard MSBuild command line with the following arguments to build your U-SQL project:
 
 ```console
 msbuild USQLBuild.usqlproj /p:USQLSDKPath=packages\Microsoft.Azure.DataLake.USQL.SDK.1.3.180615\build\runtime;USQLTargetType=SyntaxCheck;DataRoot=datarootfolder;/p:EnableDeployment=true
@@ -312,7 +312,7 @@ To add the NuGet package reference, right-click the solution in Visual Studio So
 
 ### Build U-SQL a database project with the MSBuild command line
 
-To build your U-SQL database project, call the standard MSBuild command line and pass the U-SQL SDK NuGet package reference as an additional argument. See the following example: 
+To build your U-SQL database project, call the standard MSBuild command line and pass the U-SQL SDK NuGet package reference as another argument. See the following example: 
 
 ```console
 msbuild DatabaseProject.usqldbproj /p:USQLSDKPath=packages\Microsoft.Azure.DataLake.USQL.SDK.1.3.180615\build\runtime
@@ -340,7 +340,7 @@ In addition to the command line, you can use Visual Studio Build or an MSBuild t
 
 ### U-SQL database project build output
 
-The build output for a U-SQL database project is a U-SQL database deployment package, named with the suffix `.usqldbpack`. The `.usqldbpack` package is a zip file that includes all DDL statements in a single U-SQL script in a DDL folder. It includes all **.dlls** and additional files for assembly in a temp folder.
+The build output for a U-SQL database project is a U-SQL database deployment package, named with the suffix `.usqldbpack`. The `.usqldbpack` package is a zip file that includes all DDL statements in a single U-SQL script in a DDL folder. It includes all **.dlls** and other files for assembly in a temp folder.
 
 ## Test table-valued functions and stored procedures
 
@@ -478,9 +478,9 @@ Take the following steps to set up a database deployment task in Azure Pipelines
 |AzureSDKPath|The path to search dependent assemblies in the Azure SDK.|null|true|
 |Interactive|Whether or not to use interactive mode for authentication.|false|false|
 |ClientId|The Azure AD application ID required for non-interactive authentication.|null|Required for non-interactive authentication.|
-|Secrete|The secrete or password for non-interactive authentication. It should be used only in a trusted and secure environment.|null|Required for non-interactive authentication, or else use SecreteFile.|
-|SecreteFile|The file saves the secrete or password for non-interactive authentication. Make sure to keep it readable only by the current user.|null|Required for non-interactive authentication, or else use Secrete.|
-|CertFile|The file saves X.509 certification for non-interactive authentication. The default is to use client secrete authentication.|null|false|
+|Secret|The secret or password for non-interactive authentication. It should be used only in a trusted and secure environment.|null|Required for non-interactive authentication, or else use SecreteFile.|
+|SecretFile|The file saves the secret or password for non-interactive authentication. Make sure to keep it readable only by the current user.|null|Required for non-interactive authentication, or else use Secret.|
+|CertFile|The file saves X.509 certification for non-interactive authentication. The default is to use client secret authentication.|null|false|
 | JobPrefix | The prefix for database deployment of a U-SQL DDL job. | Deploy_ + DateTime.Now | false |
 
 ## Next steps

articles/data-lake-analytics/data-lake-analytics-cicd-test.md

@@ -3,7 +3,7 @@ title: How to test your Azure Data Lake Analytics code
 description: 'Learn how to add test cases for U-SQL and extended C# code for Azure Data Lake Analytics.'
 ms.service: data-lake-analytics
 ms.topic: how-to
-ms.date: 08/30/2019
+ms.date: 01/20/2023
 ---
 # Test your Azure Data Lake Analytics code
 
@@ -136,7 +136,7 @@ For a C# UDO test, make sure to reference the following assemblies, which are ne
 - Microsoft.Analytics.Types
 - Microsoft.Analytics.UnitTest
 
-If you reference them through [the Nuget package Microsoft.Azure.DataLake.USQL.Interfaces](https://www.nuget.org/packages/Microsoft.Azure.DataLake.USQL.Interfaces/), make sure you add a NuGet Restore task in your build pipeline.
+If you reference them through [the NuGet package Microsoft.Azure.DataLake.USQL.Interfaces](https://www.nuget.org/packages/Microsoft.Azure.DataLake.USQL.Interfaces/), make sure you add a NuGet Restore task in your build pipeline.
 
 ## Next steps