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# Quickstart: Use Azure Data Studio to connect and query data in Azure SQL data warehouse
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# Quickstart: Use Azure Data Studio to connect and query data using dedicated SQL pool in Azure Synapse Analytics
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This quickstart demonstrates how to use Azure Data Studio to connect to Azure SQL data warehouse, and then use Transact-SQL statements to create, insert, and select data.
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This quickstart demonstrates how to use Azure Data Studio to connect to using dedicated SQL pool in Azure Synapse Analytics, and then use Transact-SQL statements to create, insert, and select data.
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## Prerequisites
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To complete this quickstart, you need Azure Data Studio, and an Azure SQL data warehouse.
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To complete this quickstart, you need Azure Data Studio, and a dedicated SQL pool in Azure Synapse Analytics.
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-[Install Azure Data Studio](./download-azure-data-studio.md?view=sql-server-ver15).
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If you don't already have a SQL data warehouse, see [Create a SQL Data Warehouse](/azure/sql-data-warehouse/sql-data-warehouse-get-started-provision).
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If you don't already have a dedicated SQL pool, see [Create a SQL Data Warehouse](/azure/sql-data-warehouse/sql-data-warehouse-get-started-provision).
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Remember the server name, and login credentials!
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## Connect to your data warehouse
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## Connect to your dedicated SQL pool
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Use Azure Data Studio to establish a connection to your Azure SQL Data Warehouse server.
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Use Azure Data Studio to establish a connection to your Azure Synapse Analytics server.
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1. The first time you run Azure Data Studio the **Connection** page should open. If you don't see the **Connection** page, click **Add Connection**, or the **New Connection** icon in the **SERVERS** sidebar:
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4. After successfully connecting your server opens in the *Servers* sidebar.
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## Create the tutorial data warehouse
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## Create the tutorial dedicated SQL pool
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1. Right click on your server, in the object explorer and select **New Query.**
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1. Paste the following snippet into the query editor and click **Run**:
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## Next steps
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Now that you've successfully connected to an Azure SQL data warehouse and ran a query, try out the [Code editor tutorial](tutorial-sql-editor.md).
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Now that you've successfully connected to an Azure Synapse Analytics and ran a query, try out the [Code editor tutorial](tutorial-sql-editor.md).
Copy file name to clipboardExpand all lines: docs/azure-data-studio/what-is.md
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---
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title: What is Azure Data Studio
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description: Azure Data Studio is a free, light-weight tool, that runs on Windows, macOS, and Linux, for managing SQL Server, Azure SQL Database, and Azure SQL Data Warehouse.
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description: Azure Data Studio is a free, light-weight tool, that runs on Windows, macOS, and Linux, for managing SQL Server, Azure SQL Database, and Azure Synapse Analytics.
Microsoft JDBC Driver 7.0 for SQL Server introduces a new connection property, `useBulkCopyForBatchInsert`. This property is supported only for Azure SQL Data Warehouse.
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Microsoft JDBC Driver 7.0 for SQL Server introduces a new connection property, `useBulkCopyForBatchInsert`. This property is supported only for Azure Synapse Analytics.
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This property is disabled by default. You can enable it to increase performance of user applications when you're pushing large amounts data to Azure SQL Data Warehouse. Enabling this property changes the behavior of batch insert operations to switch to bulk copy operations with user-provided data. For more information about this property and its limitations, see [Using Bulk Copy API for batch insert operation](use-bulk-copy-api-batch-insert-operation.md).
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This property is disabled by default. You can enable it to increase performance of user applications when you're pushing large amounts data to Azure Synapse Analytics. Enabling this property changes the behavior of batch insert operations to switch to bulk copy operations with user-provided data. For more information about this property and its limitations, see [Using Bulk Copy API for batch insert operation](use-bulk-copy-api-batch-insert-operation.md).
Copy file name to clipboardExpand all lines: docs/connect/odbc/windows/microsoft-odbc-driver-for-sql-server-on-windows.md
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The Microsoft ODBC Drivers for [!INCLUDE[ssNoVersion](../../../includes/ssnoversion-md.md)] are stand-alone ODBC drivers which provide an application programming interface (API) implementing the standard ODBC interfaces to Microsoft [!INCLUDE[ssNoVersion](../../../includes/ssnoversion-md.md)].
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The Microsoft ODBC Driver for SQL Server can be used to create new applications. You can also upgrade your older applications which currently use an older ODBC driver. The ODBC Driver for SQL Server supports connections to Azure SQL Database, Azure SQL Data Warehouse, and [!INCLUDE[ssNoVersion](../../../includes/ssnoversion-md.md)].
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The Microsoft ODBC Driver for SQL Server can be used to create new applications. You can also upgrade your older applications which currently use an older ODBC driver. The ODBC Driver for SQL Server supports connections to Azure SQL Database, Azure Synapse Analytics, and [!INCLUDE[ssNoVersion](../../../includes/ssnoversion-md.md)].
Copy file name to clipboardExpand all lines: docs/includes/tsql-appliesto-ss2017-asdbmi-xxxx-xxx-md.md
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ms.author: mikeray
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<Token>**APPLIES TO:**SQL Server 2017 and later Azure SQL Managed Instance Azure SQL Data WarehouseParallel Data Warehouse </Token>
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<Token>**APPLIES TO:**SQL Server 2017 and later Azure SQL Managed Instance Azure Synapse AnalyticsParallel Data Warehouse </Token>
Copy file name to clipboardExpand all lines: docs/integration-services/control-flow/azure-sql-dw-upload-task.md
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The **Azure SQL DW Upload Task** enables an SSIS package to copy tabular data to Azure SQL Data Warehouse (DW) from file system or Azure Blob Storage.
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The task leverages PolyBase to improve performance, as described in the article [Azure SQL Data Warehouse Loading Patterns and Strategies](/archive/blogs/sqlcat/azure-sql-data-warehouse-loading-patterns-and-strategies).
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The **Azure SQL DW Upload Task** enables an SSIS package to copy tabular data to Azure Synapse Analytics (DW) from file system or Azure Blob Storage.
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The task leverages PolyBase to improve performance, as described in the article [Azure Synapse Analytics Loading Patterns and Strategies](/archive/blogs/sqlcat/azure-sql-data-warehouse-loading-patterns-and-strategies).
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The currently supported source data file format is delimited text in UTF8 encoding.
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When copying from file system, data will first be uploaded to Azure Blob Storage for staging, and then to Azure SQL DW. Therefore, an Azure Blob Storage account is needed.
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