Merge pull request #41923 from douglaslMS/adf-article-batch3

Ja-Dunn · web-flow · commit 7fb00729b41b · 2018-05-22T14:45:56.000-07:00
Bulk metadata update: Data Factory batch 3 of 3
diff --git a/articles/data-factory/how-to-read-write-partitioned-data.md b/articles/data-factory/how-to-read-write-partitioned-data.md
@@ -11,7 +11,7 @@ ms.service: data-factory
 ms.workload: data-services
 ms.tgt_pltfrm: na
 ms.devlang: na
-ms.topic: article
+ms.topic: conceptual
 ms.date: 05/15/2018
 ms.author: shlo
 
@@ -172,4 +172,4 @@ Pipeline definition:
 ```
 
 ## Next steps
-For a complete walkthrough of creating a data factory with a pipeline, see [Quickstart: create a data factory](quickstart-create-data-factory-powershell.md). 
+For a complete walkthrough of creating a data factory with a pipeline, see [Quickstart: create a data factory](quickstart-create-data-factory-powershell.md). 
diff --git a/articles/data-factory/how-to-schedule-azure-ssis-integration-runtime.md b/articles/data-factory/how-to-schedule-azure-ssis-integration-runtime.md
@@ -1,4 +1,4 @@
-﻿---
+---
 title: How to schedule Azure SSIS integration runtime | Microsoft Docs
 description: This article describes how to schedule starting and stopping of an Azure SSIS integration runtime by using Azure Automation and Data Factory.
 services: data-factory
@@ -11,7 +11,7 @@ ms.service: data-factory
 ms.workload: data-services
 ms.tgt_pltfrm: 
 ms.devlang: powershell
-ms.topic: article
+ms.topic: conceptual
 ms.date: 05/18/2018
 ms.author: douglasl
 
@@ -236,7 +236,7 @@ After you create and test the pipeline, you create a schedule trigger and associ
  
    The name of the Azure data factory must be **globally unique**. If you receive the following error, change the name of the data factory (for example, yournameMyAzureSsisDataFactory) and try creating again. See [Data Factory - Naming Rules](naming-rules.md) article for naming rules for Data Factory artifacts.
   
-       `Data factory name “MyAzureSsisDataFactory” is not available`
+       `Data factory name �MyAzureSsisDataFactory� is not available`
 3. Select your Azure **subscription** in which you want to create the data factory. 
 4. For the **Resource Group**, do one of the following steps:
      
diff --git a/articles/data-factory/iterative-development-debugging.md b/articles/data-factory/iterative-development-debugging.md
@@ -5,7 +5,7 @@ author: douglaslMS
 ms.author: douglasl
 manager: craigg
 ms.date: 05/14/2018
-ms.topic: article
+ms.topic: conceptual
 ms.service: data-factory
 
 services: data-factory
diff --git a/articles/data-factory/join-azure-ssis-integration-runtime-virtual-network.md b/articles/data-factory/join-azure-ssis-integration-runtime-virtual-network.md
@@ -11,7 +11,7 @@ ms.service: data-factory
 ms.workload: data-services
 ms.tgt_pltfrm: na
 ms.devlang: na
-ms.topic: article
+ms.topic: conceptual
 ms.date: 05/07/2018
 ms.author: douglasl
 
diff --git a/articles/data-factory/load-azure-data-lake-store.md b/articles/data-factory/load-azure-data-lake-store.md
@@ -9,7 +9,7 @@ ms.reviewer: douglasl
 
 ms.service: data-factory
 ms.workload: data-services
-ms.topic: article
+ms.topic: conceptual
 ms.date: 01/17/2018
 ms.author: jingwang
 
@@ -134,4 +134,4 @@ This article shows you how to use the Data Factory Copy Data tool to _load data
 Advance to the following article to learn about Azure Data Lake Store support: 
 
 > [!div class="nextstepaction"]
->[Azure Data Lake Store connector](connector-azure-data-lake-store.md)
+>[Azure Data Lake Store connector](connector-azure-data-lake-store.md)
diff --git a/articles/data-factory/load-azure-sql-data-warehouse.md b/articles/data-factory/load-azure-sql-data-warehouse.md
@@ -9,7 +9,7 @@ ms.reviewer: douglasl
 
 ms.service: data-factory
 ms.workload: data-services
-ms.topic: article
+ms.topic: conceptual
 ms.date: 01/17/2018
 ms.author: jingwang
 
@@ -134,4 +134,4 @@ This article shows you how to use the Data Factory Copy Data tool to _load data
 Advance to the following article to learn about Azure SQL Data Warehouse support: 
 
 > [!div class="nextstepaction"]
->[Azure SQL Data Warehouse connector](connector-azure-sql-data-warehouse.md)
+>[Azure SQL Data Warehouse connector](connector-azure-sql-data-warehouse.md)
diff --git a/articles/data-factory/manage-azure-ssis-integration-runtime.md b/articles/data-factory/manage-azure-ssis-integration-runtime.md
@@ -11,7 +11,7 @@ ms.service: data-factory
 ms.workload: data-services
 ms.tgt_pltfrm: na
 ms.devlang: na
-ms.topic: article
+ms.topic: conceptual
 ms.date: 01/22/2018
 ms.author: douglasl
 
diff --git a/articles/data-factory/monitor-integration-runtime.md b/articles/data-factory/monitor-integration-runtime.md
@@ -11,7 +11,7 @@ ms.service: data-factory
 ms.workload: data-services
 ms.tgt_pltfrm: na
 ms.devlang: na
-ms.topic: article
+ms.topic: conceptual
 ms.date: 09/23/2017
 ms.author: douglasl
 
@@ -205,4 +205,4 @@ See the following articles to learn more about Azure-SSIS integration runtime:
 See the following articles for monitoring pipelines in different ways: 
 
 - [Quickstart: create a data factory](quickstart-create-data-factory-dot-net.md).
-- [Use Azure Monitor to monitor Data Factory pipelines](monitor-using-azure-monitor.md)
+- [Use Azure Monitor to monitor Data Factory pipelines](monitor-using-azure-monitor.md)
diff --git a/articles/data-factory/monitor-programmatically.md b/articles/data-factory/monitor-programmatically.md
@@ -11,7 +11,7 @@ ms.service: data-factory
 ms.workload: data-services
 ms.tgt_pltfrm: na
 ms.devlang: na
-ms.topic: article
+ms.topic: conceptual
 ms.date: 01/16/2018
 ms.author: douglasl
 
diff --git a/articles/data-factory/monitor-using-azure-monitor.md b/articles/data-factory/monitor-using-azure-monitor.md
@@ -1,4 +1,4 @@
-﻿---
+---
 title: Monitor data factories using Azure Monitor | Microsoft Docs
 description: Learn how to use Azure Monitor to monitor Data Factory pipelines by enabling diagnostic logs with information from Azure Data Factory.
 services: data-factory
@@ -11,7 +11,7 @@ ms.service: data-factory
 ms.workload: data-services
 ms.tgt_pltfrm: na
 ms.devlang: na
-ms.topic: article
+ms.topic: conceptual
 ms.date: 01/16/2018
 ms.author: shlo
 
@@ -103,7 +103,7 @@ https://management.azure.com/{resource-id}/providers/microsoft.insights/diagnost
 | Property | Type | Description |
 | --- | --- | --- |
 | storageAccountId |String | The resource ID of the storage account to which you would like to send Diagnostic Logs |
-| serviceBusRuleId |String | The service bus rule ID of the service bus namespace in which you would like to have Event Hubs created for streaming Diagnostic Logs. The rule ID is of the format: “{service bus resource ID}/authorizationrules/{key name}”.|
+| serviceBusRuleId |String | The service bus rule ID of the service bus namespace in which you would like to have Event Hubs created for streaming Diagnostic Logs. The rule ID is of the format: �{service bus resource ID}/authorizationrules/{key name}�.|
 | workspaceId | Complex Type | Array of metric time grains and their retention policies. Currently, this property is empty. |
 |metrics| Parameter values of the pipeline run to be passed to the invoked pipeline| A JSON object mapping parameter names to argument values | 
 | logs| Complex Type| Name of a Diagnostic Log category for a resource type. To obtain the list of Diagnostic Log categories for a resource, first perform a GET diagnostic settings operation. |
diff --git a/articles/data-factory/monitor-visually.md b/articles/data-factory/monitor-visually.md
@@ -11,7 +11,7 @@ ms.service: data-factory
 ms.workload: data-services
 ms.tgt_pltfrm: na
 ms.devlang: na
-ms.topic: article
+ms.topic: conceptual
 ms.date: 02/06/2018
 ms.author: shlo
 
diff --git a/articles/data-factory/naming-rules.md b/articles/data-factory/naming-rules.md
@@ -12,7 +12,7 @@ ms.service: data-factory
 ms.workload: data-services
 ms.tgt_pltfrm: na
 ms.devlang: na
-ms.topic: article
+ms.topic: conceptual
 ms.date: 01/16/2018
 ms.author: shlo
 
@@ -30,4 +30,4 @@ The following table provides naming rules for Data Factory artifacts.
 | Resource Group |Unique across Microsoft Azure. Names are case-insensitive. | For more info, see [Azure naming rules and restrictions](https://docs.microsoft.com/azure/architecture/best-practices/naming-conventions#naming-rules-and-restrictions). |
 
 ## Next steps
-Learn how to create data factories by following step-by-step instructions in [QUickstart: create a data factory](quickstart-create-data-factory-powershell.md) article. 
+Learn how to create data factories by following step-by-step instructions in [QUickstart: create a data factory](quickstart-create-data-factory-powershell.md) article. 
diff --git a/articles/data-factory/samples-powershell.md b/articles/data-factory/samples-powershell.md
@@ -10,7 +10,7 @@ ms.service: data-factory
 ms.workload: data-services
 ms.tgt_pltfrm: na
 ms.devlang: na
-ms.topic: article
+ms.topic: conceptual
 ms.date: 01/16/2018
 ms.author: douglasl
 ---
diff --git a/articles/data-factory/store-credentials-in-key-vault.md b/articles/data-factory/store-credentials-in-key-vault.md
@@ -10,7 +10,7 @@ ms.service: data-factory
 ms.workload: data-services
 ms.tgt_pltfrm: na
 ms.devlang: na
-ms.topic: article
+ms.topic: conceptual
 ms.date: 04/25/2017
 ms.author: jingwang
 ---
@@ -116,4 +116,4 @@ Select **Azure Key Vault** for secret fields while creating the connection to yo
 ```
 
 ## Next steps
-For a list of data stores supported as sources and sinks by the copy activity in Azure Data Factory, see [supported data stores](copy-activity-overview.md#supported-data-stores-and-formats).
+For a list of data stores supported as sources and sinks by the copy activity in Azure Data Factory, see [supported data stores](copy-activity-overview.md#supported-data-stores-and-formats).
diff --git a/articles/data-factory/supported-file-formats-and-compression-codecs.md b/articles/data-factory/supported-file-formats-and-compression-codecs.md
@@ -7,7 +7,7 @@ ms.reviewer: douglasl
 
 ms.service: data-factory
 ms.workload: data-services
-ms.topic: article
+ms.topic: conceptual
 ms.date: 05/09/2018
 ms.author: jingwang
 
@@ -570,4 +570,4 @@ See the following articles for file-based data stores supported by Azure Data Fa
 - [FTP connector](connector-ftp.md)
 - [SFTP connector](connector-sftp.md)
 - [HDFS connector](connector-hdfs.md)
-- [HTTP connector](connector-http.md)
+- [HTTP connector](connector-http.md)
diff --git a/articles/data-factory/transform-data-databricks-notebook.md b/articles/data-factory/transform-data-databricks-notebook.md
@@ -11,7 +11,7 @@ ms.service: data-factory
 ms.workload: data-services
 ms.tgt_pltfrm: na
 ms.devlang: na
-ms.topic: article
+ms.topic: conceptual
 ms.date: 03/15/2018
 ms.author: douglasl
 ---
diff --git a/articles/data-factory/transform-data-using-data-lake-analytics.md b/articles/data-factory/transform-data-using-data-lake-analytics.md
@@ -11,7 +11,7 @@ ms.service: data-factory
 ms.workload: data-services
 ms.tgt_pltfrm: na
 ms.devlang: na
-ms.topic: article
+ms.topic: conceptual
 ms.date: 01/29/2018
 ms.author: abnarain
 
diff --git a/articles/data-factory/transform-data-using-dotnet-custom-activity.md b/articles/data-factory/transform-data-using-dotnet-custom-activity.md
@@ -10,7 +10,7 @@ ms.service: data-factory
 ms.workload: data-services
 ms.tgt_pltfrm: na
 ms.devlang: na
-ms.topic: article
+ms.topic: conceptual
 ms.date: 01/16/2018
 ms.author: douglasl
 
diff --git a/articles/data-factory/transform-data-using-hadoop-hive.md b/articles/data-factory/transform-data-using-hadoop-hive.md
@@ -10,7 +10,7 @@ ms.service: data-factory
 ms.workload: data-services
 ms.tgt_pltfrm: na
 ms.devlang: na
-ms.topic: article
+ms.topic: conceptual
 ms.date: 01/16/2018
 ms.author: douglasl
 
diff --git a/articles/data-factory/transform-data-using-hadoop-map-reduce.md b/articles/data-factory/transform-data-using-hadoop-map-reduce.md
@@ -10,7 +10,7 @@ ms.service: data-factory
 ms.workload: data-services
 ms.tgt_pltfrm: na
 ms.devlang: na
-ms.topic: article
+ms.topic: conceptual
 ms.date: 01/16/2018
 ms.author: douglasl
 
diff --git a/articles/data-factory/transform-data-using-hadoop-pig.md b/articles/data-factory/transform-data-using-hadoop-pig.md
@@ -10,7 +10,7 @@ ms.service: data-factory
 ms.workload: data-services
 ms.tgt_pltfrm: na
 ms.devlang: na
-ms.topic: article
+ms.topic: conceptual
 ms.date: 01/16/2018
 ms.author: douglasl
 
diff --git a/articles/data-factory/transform-data-using-hadoop-streaming.md b/articles/data-factory/transform-data-using-hadoop-streaming.md
@@ -10,7 +10,7 @@ ms.service: data-factory
 ms.workload: data-services
 ms.tgt_pltfrm: na
 ms.devlang: na
-ms.topic: article
+ms.topic: conceptual
 ms.date: 01/16/2018
 ms.author: douglasl
 
diff --git a/articles/data-factory/transform-data-using-machine-learning.md b/articles/data-factory/transform-data-using-machine-learning.md
@@ -10,7 +10,7 @@ ms.service: data-factory
 ms.workload: data-services
 ms.tgt_pltfrm: na
 ms.devlang: na
-ms.topic: article
+ms.topic: conceptual
 ms.date: 01/16/2018
 ms.author: douglasl
 
diff --git a/articles/data-factory/transform-data-using-spark.md b/articles/data-factory/transform-data-using-spark.md
@@ -10,7 +10,7 @@ ms.service: data-factory
 ms.workload: data-services
 ms.tgt_pltfrm: na
 ms.devlang: na
-ms.topic: article
+ms.topic: conceptual
 ms.date: 01/16/2018
 ms.author: douglasl
 
diff --git a/articles/data-factory/transform-data-using-stored-procedure.md b/articles/data-factory/transform-data-using-stored-procedure.md
@@ -10,7 +10,7 @@ ms.service: data-factory
 ms.workload: data-services
 ms.tgt_pltfrm: na
 ms.devlang: na
-ms.topic: article
+ms.topic: conceptual
 ms.date: 01/16/2018
 ms.author: douglasl
 
diff --git a/articles/data-factory/transform-data.md b/articles/data-factory/transform-data.md
@@ -10,7 +10,7 @@ ms.service: data-factory
 ms.workload: data-services
 ms.tgt_pltfrm: na
 ms.devlang: na
-ms.topic: article
+ms.topic: conceptual
 ms.date: 01/16/2018
 ms.author: douglasl
 
@@ -78,4 +78,4 @@ You create a linked service for the compute environment and then use the linked
 See [Compute Linked Services](compute-linked-services.md) article to learn about compute services supported by Data Factory. 
 
 ## Next steps
-See the following tutorial for an example of using a transformation activity: [Tutorial: transform data using Spark](tutorial-transform-data-spark-powershell.md)
+See the following tutorial for an example of using a transformation activity: [Tutorial: transform data using Spark](tutorial-transform-data-spark-powershell.md)
diff --git a/articles/data-factory/update-machine-learning-models.md b/articles/data-factory/update-machine-learning-models.md
@@ -11,7 +11,7 @@ ms.service: data-factory
 ms.workload: data-services
 ms.tgt_pltfrm: na
 ms.devlang: na
-ms.topic: article
+ms.topic: conceptual
 ms.date: 01/16/2018
 ms.author: shlo
 
