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@@ -28,16 +28,16 @@ In this quickstart, you use the Azure portal to create a data factory. Then, you
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## Create a data factory
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1. Select **New** on the left menu, select **Data + Analytics**, and then select **Data Factory**.
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1. Launch **Microsoft Edge** or **Google Chrome** web browser. Currently, Data Factory UI is supported only in Microsoft Edge and Google Chrome web browsers.
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1. Go to the [Azure portal](https://portal.azure.com).
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1. Select **Create a resource** on the left menu, select **Analytics**, and then select **Data Factory**.
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1. On the **New data factory** page, enter **ADFTutorialDataFactory** for **Name**.
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The name of the Azure data factory must be *globally unique*. If you see the following error, change the name of the data factory (for example, **<yourname>ADFTutorialDataFactory**) and try creating again. For naming rules for Data Factory artifacts, see the [Data Factory - naming rules](naming-rules.md) article.
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1. For **Subscription**, select your Azure subscription in which you want to create the data factory.
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1. For **Resource Group**, use one of the following steps:
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To learn about resource groups, see [Using resource groups to manage your Azure resources](../azure-resource-manager/resource-group-overview.md).
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1. For **Version**, select **V2**.
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1. For **Location**, select the location for the data factory.
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1. For **Location**, select the location for the data factory.
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The list shows only locations that Data Factory supports, and where your Azure Data Factory meta data will be stored. Please note that the associated data stores (like Azure Storage and Azure SQL Database) and computes (like Azure HDInsight) that Data Factory uses can run in other regions.
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The list shows only locations that Data Factory supports, and where your Azure Data Factory meta data will be stored. The associated data stores (like Azure Storage and Azure SQL Database) and computes (like Azure HDInsight) that Data Factory uses can run in other regions.
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1. Select **Create**.
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1. After the creation is complete, you see the **Data Factory** page. Select the **Author & Monitor** tile to start the Azure Data Factory user interface (UI) application on a separate tab.
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## Start the Copy Data tool
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1. On the **Let's get started** page, select the **Copy Data** tile to start the Copy Data tool.
1. On the **Properties** page of the Copy Data tool, you can specify a name for the pipeline and its description, then select **Next**.
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a. Click **+ Create new connection** to add a connection.
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b. Select **Azure Blob Storage** from the gallery, and then select **Next**.
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b. Select **Azure Blob Storage** from the gallery, and then select **Continue**.
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c. On the **Specify the Azure Blob storage account** page, select your storage account from the **Storage account name** list, and then select **Finish**.
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c. On the **New Linked Service (Azure Blob Storage)** page, specify a name for your linked service. Select your storage account from the **Storage account name** list, test connection, and then select **Finish**.
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d. Select the newly created linked service as source, then click **Next**.
1. To view details about the copy operation, select the **Details** (eyeglasses image) link in the **Actions** column. For details about the properties, see [Copy Activity overview](copy-activity-overview.md).
1. Verify that the **emp.txt** file is created in the **output** folder of the **adftutorial** container. If the output folder does not exist, the Data Factory service automatically creates it.
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1. Verify that the **emp.txt** file is created in the **output** folder of the **adftutorial** container. If the output folder doesn't exist, the Data Factory service automatically creates it.
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1. Switch to the **Author** tab above the **Monitor** tab on the left panel so that you can edit linked services, datasets, and pipelines. To learn about editing them in the Data Factory UI, see [Create a data factory by using the Azure portal](quickstart-create-data-factory-portal.md).
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