Merge pull request #314034 from whhender/copy-job-link-tutorials-556738

Add Fabric Copy Job recommendation to Copy Activity articles

Author: JillGrant615

articles/data-factory/copy-activity-overview.md

@@ -12,7 +12,9 @@ ms.author: jianleishen
 
 # Copy activity in Azure Data Factory and Azure Synapse Analytics
 
-[!INCLUDE[appliesto-adf-asa-md](includes/appliesto-adf-asa-md.md)]
+**APPLIES TO:** :::image type="icon" source="media/applies-to/yes.png" border="false":::Azure Data Factory :::image type="icon" source="media/applies-to/yes.png" border="false":::Azure Synapse Analytics
+
+[!INCLUDE [copy-job-recommendation](includes/copy-job-recommendation.md)]
 
 In Azure Data Factory and Synapse pipelines, you can use the Copy activity to copy data among data stores located on-premises and in the cloud. After you copy the data, you can use other activities to further transform and analyze it. You can also use the Copy activity to publish transformation and analysis results for business intelligence (BI) and application consumption.
 

articles/data-factory/includes/copy-job-recommendation.md

@@ -0,0 +1,9 @@
+---
+ms.topic: include
+ms.date: 03/31/2026
+author: whhender
+ms.author: whhender
+---
+
+> [!TIP]
+> Looking for an easy way to move data? [Copy job](/fabric/data-factory/what-is-copy-job) in Microsoft Fabric provides a simple, scalable way to load data without building a pipeline. [Learn how to create one](/fabric/data-factory/create-copy-job).

articles/data-factory/quickstart-hello-world-copy-data-tool.md

@@ -14,7 +14,9 @@ ms.custom:
 
 # Quickstart: Use the Copy Data tool in Azure Data Factory Studio to copy data
 
-[!INCLUDE[appliesto-adf-xxx-md](includes/appliesto-adf-xxx-md.md)]
+**APPLIES TO:** :::image type="icon" source="media/applies-to/yes.png" border="false":::Azure Data Factory :::image type="icon" source="media/applies-to/no.png" border="false":::Azure Synapse Analytics
+
+[!INCLUDE [copy-job-recommendation](includes/copy-job-recommendation.md)]
 
 In this quickstart, you use the Copy Data tool in Azure Data Factory Studio to create a pipeline that copies data from a source folder in Azure Blob Storage to a target folder.
 

articles/data-factory/tutorial-bulk-copy-portal.md

@@ -11,7 +11,9 @@ ms.custom: sfi-image-nochange
 
 # Copy multiple tables in bulk by using Azure Data Factory in the Azure portal
 
-[!INCLUDE[appliesto-adf-asa-md](includes/appliesto-adf-asa-md.md)]
+**APPLIES TO:** :::image type="icon" source="media/applies-to/yes.png" border="false":::Azure Data Factory :::image type="icon" source="media/applies-to/yes.png" border="false":::Azure Synapse Analytics
+
+[!INCLUDE [copy-job-recommendation](includes/copy-job-recommendation.md)]
 
 This tutorial demonstrates **copying a number of tables from Azure SQL Database to Azure Synapse Analytics**. You can apply the same pattern in other copy scenarios as well. For example, copying tables from SQL Server/Oracle to Azure SQL Database/Azure Synapse Analytics /Azure Blob, copying different paths from Blob to Azure SQL Database tables.
 

articles/data-factory/tutorial-copy-data-portal.md

@@ -13,7 +13,9 @@ ms.custom: sfi-image-nochange
 
 # Tutorial: Copy data from Azure Blob storage to a database in Azure SQL Database by using Azure Data Factory
 
-[!INCLUDE[appliesto-adf-asa-md](includes/appliesto-adf-asa-md.md)]
+**APPLIES TO:** :::image type="icon" source="media/applies-to/yes.png" border="false":::Azure Data Factory :::image type="icon" source="media/applies-to/yes.png" border="false":::Azure Synapse Analytics
+
+[!INCLUDE [copy-job-recommendation](includes/copy-job-recommendation.md)]
 
 In this tutorial, you create a data factory by using the Azure Data Factory user interface (UI). The pipeline in this data factory copies data from Azure Blob storage to a database in Azure SQL Database. The configuration pattern in this tutorial applies to copying from a file-based data store to a relational data store. For a list of data stores supported as sources and sinks, see the [supported data stores](copy-activity-overview.md#supported-data-stores-and-formats) table.
 

articles/data-factory/tutorial-copy-data-tool.md

@@ -11,7 +11,9 @@ ms.custom: sfi-image-nochange
 
 # Copy data from Azure Blob storage to a SQL Database by using the Copy Data tool
 
-[!INCLUDE[appliesto-adf-asa-md](includes/appliesto-adf-asa-md.md)]
+**APPLIES TO:** :::image type="icon" source="media/applies-to/yes.png" border="false":::Azure Data Factory :::image type="icon" source="media/applies-to/yes.png" border="false":::Azure Synapse Analytics
+
+[!INCLUDE [copy-job-recommendation](includes/copy-job-recommendation.md)]
 
 In this tutorial, you use the Azure portal to create a data factory. Then you use the Copy Data tool to create a pipeline that copies data from Azure Blob storage to a SQL Database.
 

articles/data-factory/tutorial-incremental-copy-multiple-tables-portal.md

@@ -10,7 +10,9 @@ ms.subservice: data-movement
 
 # Incrementally load data from multiple tables in SQL Server to a database in Azure SQL Database using the Azure portal
 
-[!INCLUDE[appliesto-adf-asa-md](includes/appliesto-adf-asa-md.md)]
+**APPLIES TO:** :::image type="icon" source="media/applies-to/yes.png" border="false":::Azure Data Factory :::image type="icon" source="media/applies-to/yes.png" border="false":::Azure Synapse Analytics
+
+[!INCLUDE [copy-job-recommendation](includes/copy-job-recommendation.md)]
 
 In this tutorial, you create an Azure Data Factory with a pipeline that loads delta data from multiple tables in a SQL Server database to a database in Azure SQL Database.    
 

articles/data-factory/tutorial-incremental-copy-overview.md

@@ -10,7 +10,9 @@ ms.subservice: data-movement
 
 # Incrementally load data from a source data store to a destination data store
 
-[!INCLUDE[appliesto-adf-asa-md](includes/appliesto-adf-asa-md.md)]
+**APPLIES TO:** :::image type="icon" source="media/applies-to/yes.png" border="false":::Azure Data Factory :::image type="icon" source="media/applies-to/yes.png" border="false":::Azure Synapse Analytics
+
+[!INCLUDE [copy-job-recommendation](includes/copy-job-recommendation.md)]
 
 In a data integration solution, incrementally (or delta) loading data after an initial full data load is a widely used scenario. The tutorials in this section show you different ways of loading data incrementally by using Azure Data Factory.