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articles/sql-data-warehouse/create-data-warehouse-portal.md

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---
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title: Create and query a data warehouse (Azure portal)
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description: Create and query an Azure Synapse Analytics SQL pool using the Azure portal
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title: Create and query a Synapse SQL pool (Azure portal)
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description: Create and query a Synapse SQL pool using the Azure portal
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services: sql-data-warehouse
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author: XiaoyuMSFT
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manager: craigg
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ms.custom: seo-lt-2019, azure-synapse
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---
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# Quickstart: Create and query an Azure Synapse Analytics SQL pool using the Azure portal
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# Quickstart: Create and query a Synapse SQL pool using the Azure portal
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Quickly create and query a data warehouse by provisioning SQL pool in Azure Synapse Analytics (formerly SQL DW) using the Azure portal.
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Quickly create and query a Synapse SQL pool (data warehouse) in Azure Synapse Analytics (formerly SQL DW) using the Azure portal.
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## Prerequisites
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Data warehouses are created using SQL pool in Azure Synapse Analytics. A SQL pool is created with a defined set of [compute resources](memory-concurrency-limits.md). The database is created within an [Azure resource group](../azure-resource-manager/management/overview.md) and in an [Azure SQL logical server](../sql-database/sql-database-servers.md).
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Follow these steps to create a data warehouse that contains the **AdventureWorksDW** sample data.
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Follow these steps to create a SQL pool that contains the **AdventureWorksDW** sample data.
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1. select **Create a resource** in the upper left-hand corner of the Azure portal.
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| :------ | :-------------- | :---------- |
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| **Subscription** | Your subscription | For details about your subscriptions, see [Subscriptions](https://account.windowsazure.com/Subscriptions). |
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| **Resource group** | myResourceGroup | For valid resource group names, see [Naming rules and restrictions](/azure/architecture/best-practices/resource-naming). |
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| **Data warehouse name** | Any globally unique name (An example is *mySampleDataWarehouse*) | For valid database names, see [Database Identifiers](/sql/relational-databases/databases/database-identifiers). Note, a data warehouse is one type of database. |
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| **SQL pool name** | Any globally unique name (An example is *mySampleDataWarehouse*) | For valid database names, see [Database Identifiers](/sql/relational-databases/databases/database-identifiers). Note, a SQL pool is one type of database. |
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| **Server** | Any globally unique name | Select existing server, or create a new server name, select **Create new**. For valid server names, see [Naming rules and restrictions](/azure/architecture/best-practices/resource-naming). |
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![create a data warehouse basic details](media/create-data-warehouse-portal/create-sql-pool-basics.png)
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For more information about performance levels, see [Manage compute in Azure SQL Data Warehouse](sql-data-warehouse-manage-compute-overview.md).
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5. Now that you've completed the Basics tab of the Azure Synapse Analytics form, select **Review + Create** and then **Create** to create the data warehouse in the SQL pool. Provisioning takes a few minutes.
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5. Now that you've completed the Basics tab of the Azure Synapse Analytics form, select **Review + Create** and then **Create** to create the SQL pool. Provisioning takes a few minutes.
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![select Review + Create](media/create-data-warehouse-portal/create-sql-pool-review-create.png)
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8. select **OK** and then close the **Firewall settings** page.
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You can now connect to the SQL server and its data warehouses using this IP address. The connection works from SQL Server Management Studio or another tool of your choice. When you connect, use the ServerAdmin account you created previously.
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You can now connect to the SQL server and its SQL pools using this IP address. The connection works from SQL Server Management Studio or another tool of your choice. When you connect, use the ServerAdmin account you created previously.
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> [!IMPORTANT]
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> By default, access through the SQL Database firewall is enabled for all Azure services. select **OFF** on this page and then select **Save** to disable the firewall for all Azure services.
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1. Sign in to the [Azure portal](https://portal.azure.com/).
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2. Select **Azure Synapse Analytics** from the left-hand menu, and select your data warehouse on the **Azure Synapse Analytics** page.
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2. Select **Azure Synapse Analytics** from the left-hand menu, and select your on the **Azure Synapse Analytics** page.
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3. In the **Essentials** pane in the Azure portal page for your database, locate and then copy the **Server name**. In this example, the fully qualified name is sqlpoolservername.database.windows.net.
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## Clean up resources
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You're being charged for data warehouse units and data stored your data warehouse. These compute and storage resources are billed separately.
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You're being charged for data warehouse units and data stored your SQL pool. These compute and storage resources are billed separately.
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- If you want to keep the data in storage, you can pause compute when you aren't using the data warehouse. By pausing compute, you're only charged for data storage. You can resume compute whenever you're ready to work with the data.
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- If you want to keep the data in storage, you can pause compute when you aren't using the SQL pool. By pausing compute, you're only charged for data storage. You can resume compute whenever you're ready to work with the data.
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- If you want to remove future charges, you can delete the data warehouse.
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- If you want to remove future charges, you can delete the SQL pool.
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Follow these steps to clean up resources you no longer need.
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1. Sign in to the [Azure portal](https://portal.azure.com), select on your data warehouse.
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1. Sign in to the [Azure portal](https://portal.azure.com), select your SQL pool.
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![Clean up resources](media/create-data-warehouse-portal/clean-up-resources.png)
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2. To pause compute, select the **Pause** button. When the data warehouse is paused, you see a **Resume** button. To resume compute, select **Resume**.
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2. To pause compute, select the **Pause** button. When the SQL pool is paused, you see a **Resume** button. To resume compute, select **Resume**.
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3. To remove the data warehouse so you aren't charged for compute or storage, select **Delete**.
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3. To remove the SQL pool so you aren't charged for compute or storage, select **Delete**.
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4. To remove the SQL server you created, select **sqlpoolservername.database.windows.net** in the previous image, and then select **Delete**. Be careful with this deletion, since deleting the server also deletes all databases assigned to the server.
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5. To remove the resource group, select **myResourceGroup**, and then select **Delete resource group**.
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## Next steps
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You've now created a data warehouse, created a firewall rule, connected to your data warehouse, and run a few queries. To learn more about Azure SQL Data Warehouse, continue to the tutorial for loading data.
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> [!div class="nextstepaction"]
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> [Load data into a SQL Data Warehouse](load-data-from-azure-blob-storage-using-polybase.md)
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To learn more about loading data into your SQL pool, continue to the [Load data into SQL pool](load-data-from-azure-blob-storage-using-polybase.md) article.

articles/sql-data-warehouse/create-data-warehouse-powershell.md

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---
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title: "Quickstart: Create a data warehouse (PowerShell)"
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description: Quickly create an Azure Synapse Analytics data warehouse logical server, with a server-level firewall rule using Azure PowerShell.
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title: Create and query a Synapse SQL pool with Azure PowerShell
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description: Quickly create a Synapse SQL pool logical server with a server-level firewall rule using Azure PowerShell.
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services: sql-data-warehouse
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author: XiaoyuMSFT
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manager: craigg
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ms.reviewer: igorstan
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ms.custom: seo-lt-2019, azure-synapse
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---
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# Quickstart: Create & query a data warehouse with Azure PowerShell
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# Quickstart: Create and query a Synapse SQL pool with Azure PowerShell
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Create an Azure Synapse Analytics data warehouse by provisioning a SQL pool using Azure PowerShell.
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Create an Synapse SQL pool (data warehouse) in Azure Synapse Analytics using Azure PowerShell.
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## Prerequisites
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If you don't have an Azure subscription, create a [free](https://azure.microsoft.com/free/) account before you begin.
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> [!NOTE]
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> Creating a warehouse may result in a new billable service. For more information, see [Azure Synapse Analytics pricing](https://azure.microsoft.com/pricing/details/sql-data-warehouse/).
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> [!IMPORTANT]
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> Creating a SQL pool may result in a new billable service. For more information, see [Azure Synapse Analytics pricing](https://azure.microsoft.com/pricing/details/sql-data-warehouse/).
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[!INCLUDE [updated-for-az](../../includes/updated-for-az.md)]
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## Configure a server firewall rule
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Create an [Azure SQL server-level firewall rule](../sql-database/sql-database-firewall-configure.md) using the [New-AzSqlServerFirewallRule](/powershell/module/az.sql/new-azsqlserverfirewallrule) command. A server-level firewall rule allows an external application, such as SQL Server Management Studio or the SQLCMD utility to connect to a SQL Data Warehouse through the SQL Data Warehouse service firewall. In the following example, the firewall is only opened for other Azure resources. To enable external connectivity, change the IP address to an appropriate address for your environment. To open all IP addresses, use 0.0.0.0 as the starting IP address and 255.255.255.255 as the ending address.
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Create an [Azure SQL server-level firewall rule](../sql-database/sql-database-firewall-configure.md) using the [New-AzSqlServerFirewallRule](/powershell/module/az.sql/new-azsqlserverfirewallrule) command. A server-level firewall rule allows an external application, such as SQL Server Management Studio or the SQLCMD utility to connect to a SQL pool through the SQL pool service firewall.
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In the following example, the firewall is only opened for other Azure resources. To enable external connectivity, change the IP address to an appropriate address for your environment. To open all IP addresses, use 0.0.0.0 as the starting IP address and 255.255.255.255 as the ending address.
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```powershell
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New-AzSqlServerFirewallRule -ResourceGroupName $resourcegroupname `
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>
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## Create a data warehouse
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This example creates a data warehouse using the previously defined variables. It specifies the service objective as DW100c, which is a lower-cost starting point for your data warehouse.
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## Create a SQL pool
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The following example creates a SQL pool using the previously defined variables. It specifies the service objective as DW100c, which is a lower-cost starting point for your SQL pool.
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```Powershell
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New-AzSqlDatabase `
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* **RequestedServiceObjectiveName**: The amount of [data warehouse units](what-is-a-data-warehouse-unit-dwu-cdwu.md) you're requesting. Increasing this amount increases compute cost. For a list of supported values, see [memory and concurrency limits](memory-concurrency-limits.md).
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* **DatabaseName**: The name of the data warehouse that you're creating.
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* **DatabaseName**: The name of the SQL pool that you're creating.
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* **ServerName**: The name of the server that you're using for creation.
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* **ResourceGroupName**: Resource group you're using. To find available resource groups in your subscription use Get-AzureResource.
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* **Edition**: Must be "DataWarehouse" to create a data warehouse.
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* **Edition**: Must be "DataWarehouse" to create a SQL pool.
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## Next steps
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You've now created a data warehouse, created a firewall rule, connected to your data warehouse, and run a few queries. To learn more, continue to the tutorial for loading data.
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> [!div class="nextstepaction"]
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>[Load data into a data warehouse](load-data-from-azure-blob-storage-using-polybase.md)
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You've now created a SQL pool, created a firewall rule, connected to your SQL pool, and run a few queries. To learn more, continue to the [Load data into SQL pool](load-data-from-azure-blob-storage-using-polybase.md) article.
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articles/sql-data-warehouse/pause-and-resume-compute-portal.md

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title: 'Quickstart: Pause & resume compute - Azure portal '
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title: Pause and resume compute in Synapse SQL pool via the Azure portal
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description: Use the Azure portal to pause compute for SQL pool to save costs. Resume compute when you are ready to use the data warehouse.
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# Quickstart: Pause and resume compute in Azure Synapse Analytics SQL pool in the Azure portal
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Use the Azure portal to pause compute for SQL pool to save costs. [Resume compute](sql-data-warehouse-manage-compute-overview.md) when you are ready to use the data warehouse.
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# Quickstart: Pause and resume compute in Synapse SQL pool via the Azure portal
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You can use the Azure portal to pause and resume the Synapse SQL pool (data warehouse) compute resources.
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To save costs, you can pause and resume compute resources on-demand. For example, if you won't be using the database during the night and on weekends, you can pause it during those times, and resume it during the day. You won't be charged for compute resources while the database is paused. However, you will continue to be charged for storage.
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To reduce costs, you can pause and resume compute resources on-demand. For example, if you won't be using the database during the night and on weekends, you can pause it during those times, and resume it during the day.
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>[!NOTE]
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>You won't be charged for compute resources while the database is paused. However, you will continue to be charged for storage.
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You are being charged for data warehouse units and the data stored in your data warehouse. These compute and storage resources are billed separately.
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You are being charged for data warehouse units and the data stored in your SQL pool. These compute and storage resources are billed separately.
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3. To remove the SQL server you created, click **sqlpoolservername.database.windows.net**, and then click **Delete**.
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> [!CAUTION]
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4. To remove the resource group, click **myResourceGroup**, and then click **Delete resource group**.
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You have now paused and resumed compute for your SQL pool. Continue to the next article to learn more about how to [Load data into SQL pool](load-data-from-azure-blob-storage-using-polybase.md). For additional information about managing compute capabilities, see the [Manage compute overview](sql-data-warehouse-manage-compute-overview.md) article.
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> [!div class="nextstepaction"]
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> [Load data into SQL pool](load-data-from-azure-blob-storage-using-polybase.md)

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