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articles/storage/blobs/data-lake-storage-events.md

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| Name | contoso-order-event-subscription |
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| Topic type | Storage account |
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| Source Resource | contosoorders |
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| System topic name | <create any name> |
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| System topic name | `<create any name>` |
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| Filter to Event Types | Blob Created, and Blob Deleted |
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4. Select the **Create** button.

articles/storage/blobs/data-lake-storage-tutorial-extract-transform-load-hive.md

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ms.subservice: data-lake-storage-gen2
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ms.service: storage
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ms.topic: tutorial
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ms.date: 03/01/2023
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ms.date: 03/07/2023
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ms.author: normesta
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ms.reviewer: jamesbak
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#Customer intent: As an analytics user, I want to perform an ETL operation so that I can work with my data in my preferred environment.

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

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# Tutorial: Query Azure Data Lake Storage Gen2 using SQL language in Synapse Analytics
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This tutorial shows you how to connect your Azure Synapse serverless SQL pool to data stored in an Azure storage account that has Azure Data Lake Storage Gen2 enabled.
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This connection enables you to natively run SQL queries and analytics using SQL language on your data in Azure storage.
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This tutorial shows you how to connect your Azure Synapse serverless SQL pool to data stored in an Azure Storage account that has Azure Data Lake Storage Gen2 enabled.
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This connection enables you to natively run SQL queries and analytics using SQL language on your data in Azure Storage.
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In this tutorial, you will:
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### Download the flight data
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This tutorial uses flight data from the Bureau of Transportation Statistics to demonstrate how to perform an ETL operation. You must download this data to complete the tutorial.
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This tutorial uses flight data from the Bureau of Transportation Statistics. You must download this data to complete the tutorial.
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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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> [!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 this file to the **data** folder.
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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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## Create an Azure Synapse workspace
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1. Create an Azure Synapse workspace. See [Create a Synapse workspace in the Azure portal](../../synapse-analytics/get-started-create-workspace.md#create-a-synapse-workspace-in-the-azure-portal).
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1. [Create a Synapse workspace in the Azure portal](../../synapse-analytics/get-started-create-workspace.md#create-a-synapse-workspace-in-the-azure-portal).
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As you create the workspace, use these values:
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- **SQL Administrator login**: Enter the administrator username for the SQL Server.
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- **SQL Administrator password**: Enter the administrator password for the SQL Server.
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- **Tag Values**: Accept the default.
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- **Review and Create**: Select.
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- **Create**: Select.
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When the deployment finishes, you will see Azure Synapse Analytics workspace in the list of the deployed resources.
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#### Find your Synapse SQL endpoint name (optional)
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## (optional) Find your Synapse SQL endpoint name
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The server name for the serverless SQL pool in the following example is: `showdemoweu-ondemand.sql.azuresynapse.net`. This endpoint enables you to connect with any tool that can run T-SQL queries on SQL server or Azure SQL database (For example: [SQL Server Management Studio](../../synapse-analytics/sql/get-started-ssms.md),
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The serverless SQL endpoint name server name enables you to connect with any tool that can run T-SQL queries on SQL server or Azure SQL database (For example: [SQL Server Management Studio](../../synapse-analytics/sql/get-started-ssms.md),
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[Azure Data Studio](../../synapse-analytics/sql/get-started-azure-data-studio.md), or [Power BI](../../synapse-analytics/sql/get-started-power-bi-professional.md)).
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To find the fully qualified 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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## Use Synapse Studio to explore data
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In this tutorial, you'll use Synapse Studio to query data from the CSV file that you uploaded to the storage account.
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## Use Synapse Studio to explore data
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1. Open Synapse Studio. See [Open Synapse Studio](../../synapse-analytics/quickstart-create-workspace.md#open-synapse-studio)
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2. Create a SQL script and run this query to view the contents of the file:

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