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articles/storage/blobs/data-lake-storage-use-sql.md

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@@ -3,13 +3,11 @@ title: 'Tutorial: Azure Data Lake Storage, Azure Synapse'
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titleSuffix: Azure Storage
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description: This tutorial shows how to run SQL queries on an Azure Synapse serverless SQL endpoint to access data in an Azure Data Lake Storage enabled storage account.
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author: jovanpop-msft
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ms.service: azure-data-lake-storage
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ms.topic: tutorial
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ms.date: 03/07/2022
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ms.author: normesta
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ms.custom: devx-track-sql
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#Customer intent: As an data engineer, I want to connect my data in Azure Storage so that I can easily run analytics on it.
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# Tutorial: Query Azure Data Lake Storage using SQL language in Synapse Analytics
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1. Download the [On_Time_Reporting_Carrier_On_Time_Performance_1987_present_2016_1.zip](https://github.com/Azure-Samples/AzureStorageSnippets/blob/master/blobs/tutorials/On_Time_Reporting_Carrier_On_Time_Performance_1987_present_2016_1.zip) file. This file contains the flight data.
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2. Unzip the contents of the zipped file and make a note of the file name and the path of the file. You need this information in a later step.
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1. Unzip the contents of the zipped file and make a note of the file name and the path of the file. You need this information in a later step.
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### Copy source data into the storage account
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1. Navigate to your new storage account in the Azure portal.
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2. Select **Storage browser**->**Blob containers**->**Add container** and create a new container named **data**.
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1. Select **Storage browser**->**Blob containers**->**Add container** and create a new container named **data**.
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> [!div class="mx-imgBorder"]
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> ![Screenshot of creating a folder in storage browser](./media/data-lake-storage-events/data-container.png)
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6. In storage browser, upload the `On_Time_Reporting_Carrier_On_Time_Performance_1987_present_2016_1.csv` file to the **data** folder.
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1. In storage browser, upload the `On_Time_Reporting_Carrier_On_Time_Performance_1987_present_2016_1.csv` file to the **data** folder.
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## Create an Azure Synapse workspace
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1. Select on the workspace you want to connect to.
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2. Go to overview.
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3. Locate the full server name.
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![Full server name serverless SQL pool](../../synapse-analytics/sql/media/connect-overview/server-connect-example-sqlod.png)
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- For a dedicated SQL pool, use **SQL Endpoint**.
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- For the serverless SQL pool, use **SQL on-demand endpoint**.
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In this tutorial, you use Synapse Studio to query data from the CSV file that you uploaded to the storage account.
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When they're no longer needed, delete the resource group and all related resources. To do so, select the resource group for the storage account and workspace, and then and select **Delete**.
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## Next steps
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## Next step
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> [!div class="nextstepaction"]
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> [Azure Data Lake Storage, Azure Databricks & Spark](data-lake-storage-use-databricks-spark.md)

articles/synapse-analytics/sql-data-warehouse/sql-data-warehouse-connect-overview.md

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Get connected to a SQL pool in Azure Synapse.
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> [!IMPORTANT]
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> Use Microsoft Entra authentication when possible. For more information, see [Use Microsoft Entra authentication for authentication with Synapse SQL](active-directory-authentication.md).
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> Use Microsoft Entra authentication when possible. For more information, see [Use Microsoft Entra authentication for authentication with Synapse SQL](../sql/active-directory-authentication.md).
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## Find your server name
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articles/synapse-analytics/sql-data-warehouse/sql-data-warehouse-connection-strings.md

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You can connect to a SQL pool in Azure Synapse with several different application protocols such as, [ADO.NET](/dotnet/framework/data/adonet?toc=/azure/synapse-analytics/sql-data-warehouse/toc.json&bc=/azure/synapse-analytics/sql-data-warehouse/breadcrumb/toc.json), [ODBC](/sql/connect/odbc/windows/microsoft-odbc-driver-for-sql-server-on-windows?toc=/azure/synapse-analytics/sql-data-warehouse/toc.json&bc=/azure/synapse-analytics/sql-data-warehouse/breadcrumb/toc.json&view=azure-sqldw-latest&preserve-view=true), [PHP](/sql/connect/php/overview-of-the-php-sql-driver?toc=/azure/synapse-analytics/sql-data-warehouse/toc.json&bc=/azure/synapse-analytics/sql-data-warehouse/breadcrumb/toc.json&view=azure-sqldw-latest&preserve-view=true), and [JDBC](/sql/connect/jdbc/microsoft-jdbc-driver-for-sql-server?toc=/azure/synapse-analytics/sql-data-warehouse/toc.json&bc=/azure/synapse-analytics/sql-data-warehouse/breadcrumb/toc.json&view=azure-sqldw-latest&preserve-view=true). Below are some examples of connections strings for each protocol. You can also use the Azure portal to build your connection string.
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> [!IMPORTANT]
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> Use Microsoft Entra authentication when possible. For more information, see [Use Microsoft Entra authentication for authentication with Synapse SQL](active-directory-authentication.md).
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> Use Microsoft Entra authentication when possible. For more information, see [Use Microsoft Entra authentication for authentication with Synapse SQL](../sql/active-directory-authentication.md).
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To build your connection string using the Azure portal, navigate to your SQL pool blade, under *Essentials* click on *Show database connection strings*.
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To build your connection string using the Azure portal, navigate to your SQL pool blade, under **Essentials** select **Show database connection strings**.
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## Sample ADO.NET connection string
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