Build fixes

Author: jonburchel

articles/data-factory/how-to-configure-shir-for-log-analytics-collection.md

@@ -3,7 +3,6 @@ title: Configure the self-hosted integration runtime for log analytics collectio
 titleSuffix: Azure Data Factory & Azure Synapse
 description: This article describes how to instrument the self-hosted integration runtime for log analytics collection.
 author: jonburchel
-ms.subservice: 
 ms.custom: synapse
 ms.topic: how-to
 ms.date: 10/03/2024

articles/data-factory/monitor-shir-in-azure.md

@@ -3,11 +3,10 @@ title: Monitor self-hosted integration runtime (SHIR) virtual machines in Azure
 titleSuffix: Azure Data Factory & Azure Synapse
 description: This article describes how to monitor Azure virtual machines hosting the self-hosted integration runtime.
 author: jonburchel
-ms.subservice: 
 ms.custom: synapse
 ms.topic: conceptual
 ms.date: 10/03/2024
-ms.subservice: intgegration-runtime
+ms.subservice: integration-runtime
 ms.author: jburchel
 ---
 

articles/data-factory/transform-data-synapse-notebook.md

@@ -7,6 +7,7 @@ author: nabhishek
 ms.author: jejiang
 ms.date: 10/03/2024
 ms.subservice: orchestration
+ms.topic: conceptual
 ---
 
 # Transform data by running a Synapse Notebook

articles/data-factory/transform-data-using-machine-learning.md

@@ -63,7 +63,7 @@ You create an **Machine Learning Studio (classic)** linked service to link a Mac
 
 See [Compute linked services](compute-linked-services.md) article for descriptions about properties in the JSON definition.
 
-Machine Learning Studio (classic) supports both Classic Web Services and New Web Services for your predictive experiment. You can choose the right one to use from your Data Factory or Synapse workspace. To get the information required to create the Machine Learning Studio (classic) Linked Service, go to https://services.azureml.net, where all your (new) Web Services and Classic Web Services are listed. Click the Web Service you would like to access, and click **Consume** page. Copy **Primary Key** for **apiKey** property, and **Batch Requests** for **mlEndpoint** property.
+Machine Learning Studio (classic) supports both Classic Web Services and New Web Services for your predictive experiment. You can choose the right one to use from your Data Factory or Synapse workspace. To get the information required to create the Machine Learning Studio (classic) Linked Service, go to https://ml.azure.com/, where all your (new) Web Services and Classic Web Services are listed. Click the Web Service you would like to access, and click **Consume** page. Copy **Primary Key** for **apiKey** property, and **Batch Requests** for **mlEndpoint** property.
 
 :::image type="content" source="./media/transform-data-using-machine-learning/web-services.png" alt-text="ML Studio (classic) Web Services":::
 

articles/data-factory/tutorial-transform-data-spark-powershell.md

@@ -3,8 +3,8 @@ title: 'Transform data using Spark in Azure Data Factory '
 description: 'This tutorial provides step-by-step instructions for transforming data by using Spark Activity in Azure Data Factory.'
 ms.custom: devx-track-azurepowershell
 ms.topic: tutorial
-ms.date: 05/15/2024
 author: nabhishek
+ms.author: abnarain
 ms.date: 10/03/2024
 ms.subservice: orchestration
 ---