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powerapps-docs/maker/common-data-service/export-to-data-lake-data-adf.md

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2. Select **+** in the pop-up window to add a new package source.
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![Add a new package](media/add-new-package.png "Add a new package")
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6. Configure the new package source, and then select **OK**:
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3. Configure the new package source, and then select **OK**:
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1. For **Name**, enter **CDM**.
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1. For **Name**, enter **CDM**.
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2. For **Source**, enter **https[]()://commondatamodel.pkgs.visualstudio.com/_packaging/CDM/nuget/v3/index.json**.
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2. For **Source**, enter **https[]()://commondatamodel.pkgs.visualstudio.com/_packaging/CDM/nuget/v3/index.json**.
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7. Make sure that the package source is set to **All**.
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4. Make sure that the package source is set to **All**.
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8. In Program.cs, fill in the storage container information on line 26, as indicated here:
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1. Replace <span><b>your-storage-account.dfs.core.windows.net</b></span> by substituting the name of your storage account.
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1. Replace **your-storage-account** by substituting the name of your storage account.
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![Your storage account substitution](media/your-storage-account.png "Your storage account substitution")
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1. Replace **your-folder-name** with the folder containing the model.json file. Go to your storage account **Overview** > **Storage Explorer** > **Containers**, and then select the correct folder name. 
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10. Run the code, and refresh your storage container to find the new manifest, entity, resolved entity, and config files.
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> [!NOTE]
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> If there are changes made to the metadata of the entity, you must delete the generated files from the Data Lake and regenerate an updated manifest file by running the code again. It is recommended that you maintain the same name of the manifest file, so there is no need to update any Azure Data Factory dataflows or pipelines.
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## Set the Data Lake Storage Gen2 storage account as a source
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1. Open [Azure Data Factory](https://ms-adf.azure.com/home?factory=%2Fsubscriptions%2Fd410b7d3-02af-45c8-895e-dc27c5b35342%2FresourceGroups%2Fsama%2Fproviders%2FMicrosoft.DataFactory%2Ffactories%2Fadfathena), and then select **Create data flow**.

powerapps-docs/maker/common-data-service/export-to-data-lake-data-powerbi.md

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3. On the **Get Data** page, select **Azure** > **Azure Data Lake Storage Gen2** > **Connect.**
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4. Enter the storage container name in the format<br>*https://accountname.dfs.core.windows.net/containername/*
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4. Enter the storage container name in the format<br>*https://accountname.dfs.core.windows.net/containername/* and replace **accountname** and **containername** with your storage account's information.
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5. Find the storage account name by going to **Azure** > **Storage accounts**, and then select the Data Lake Storage Gen2 account that's populated with the exported Common Data Services data.
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6. Find the container name by going to **Storage Explorer (preview)** > **Containers**.
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6. Find the container name by going to **Storage Explorer (preview)** > **Containers** and select the name of the container with the exported Common Data Service data.
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![Find the storage container name](media/find-container-name.png "Find the storage container name")
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7. Select **CDM Folder View (Beta)**, and then select **OK**.
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8. If prompted to sign in, do so, and then select **Access key** from the left side bar.
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8. If prompted to sign in, you can sign in with your Azure Active Directory account or with the **Account key**. To sign in with an **Account key**, select the option from the left side bar.
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9. Find the access key by going back to the storage account setting and selecting **Access keys** from the left pane. Copy the first key.
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9. Find the account key by going back to the storage account settings and selecting **Access keys** from the left pane. Copy the first key and paste it in Power BI. Select **OK**.
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![Copy the access key](media/copy-access-key.png "Copy the access key")
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10. Expand **cdm**, select the **account** data, and then select **Load**.
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10. After successfully connecting to your storage account, expand the **cdm** directory and select the entities that you want to analyze. Then, select **Load**.
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![Load account data](media/load-account-data.png "Load account data")
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## Create a Power BI report with account revenue by account owner
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1. On the **Visualizations** menu, select **Pie Chart**.
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1. Under the **Visualizations** menu, select **Pie Chart**.
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![Pie chart](media/pie-chart.png "Pie chart")
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powerapps-docs/maker/common-data-service/export-to-data-lake.md

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title: "Export to data lake | MicrosoftDocs"
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description: "Learn how to export entity data to an Azure data lake in Power Apps"
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ms.custom: ""
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ms.date: 07/23/2020
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ms.date: 08/27/2020
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ms.reviewer: "Mattp123"
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ms.service: powerapps
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ms.suite: ""
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> [!div class="mx-imgBorder"]
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> ![Imported Export to Data Lake entities](media/imported-export-entities.png "Imported Export to Data Lake entities")
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### What's next?
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After successfully using the Export to Data Lake service, discover how you can analyze and consume your data with **Discover Hub**. To access **Discover Hub**, go to **Power Apps** > **Export to data lake**. Select your linked service and then select the **Discover Hub** tab. Here you can find recommended tools and curated documentation to help you get the most value out of your data.
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![Discover Hub](media/discover-hub.png "Discover Hub")
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### See also
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[Blog: Exporting CDS data to Azure Data Lake](https://powerapps.microsoft.com/blog/exporting-cds-data-to-azure-data-lake-preview/)
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[Analyze exported data with Power BI](https://docs.microsoft.com/powerapps/maker/common-data-service/export-to-data-lake-data-powerbi)
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[Ingest exported data with Azure Data Factory](https://docs.microsoft.com/powerapps/maker/common-data-service/export-to-data-lake-data-adf)
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