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articles/data-share/share-your-data.md

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title: 'Tutorial: Share outside your org - Azure Data Share'
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description: Tutorial - Share data with customers and partners using Azure Data Share
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author: sidontha
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ms.author: sidontha
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author: chvukosw
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ms.author: chvukosw
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ms.service: azure-data-share
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ms.custom: devx-track-azurecli, devx-track-azurepowershell
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ms.topic: tutorial
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ms.date: 02/12/2025
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ms.date: 01/21/2026
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# Tutorial: Share data using Azure Data Share
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In this tutorial, you'll learn how to set up a new Azure Data Share and start sharing your data with customers and partners outside of your Azure organization.
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In this tutorial, you learn how to set up a new Azure Data Share and start sharing your data with customers and partners outside of your Azure organization.
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In this tutorial, you'll learn how to:
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In this tutorial, you learn how to:
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> [!div class="checklist"]
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> * Create a Data Share.
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:::image type="content" source="./media/datasets.png" alt-text="Screenshot of the datasets page in share creation, the add datasets button is highlighted.":::
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1. Select the dataset type that you would like to add. You'll see a different list of dataset types depending on the share type (snapshot or in-place) you've selected in the previous step. If sharing from an Azure SQL Database or Azure Synapse Analytics (formerly Azure SQL DW), you'll be prompted for authentication method to list tables. Select Microsoft Entra authentication, and check the checkbox **Allow Data Share to run the above 'create user' script on my behalf**.
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1. Select the dataset type that you would like to add. You see a different list of dataset types depending on the share type (snapshot or in-place) you've selected in the previous step. If sharing from an Azure SQL Database or Azure Synapse Analytics (formerly Azure SQL DW), you are prompted for authentication method to list tables. Select Microsoft Entra authentication, and check the checkbox **Allow Data Share to run the above 'create user' script on my behalf**.
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:::image type="content" source="./media/add-datasets.png" alt-text="Screenshot showing the available dataset types.":::
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articles/data-share/subscribe-to-data-share.md

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title: 'Tutorial: Accept & receive data - Azure Data Share'
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description: Tutorial - Accept and receive data using Azure Data Share
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author: sidontha
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ms.author: sidontha
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author: chvukosw
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ms.author: chvukosw
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ms.service: azure-data-share
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ms.custom: devx-track-azurecli, devx-track-azurepowershell
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ms.topic: tutorial
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ms.date: 02/12/2025
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ms.date: 01/21/2026
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# Tutorial: Accept and receive data using Azure Data Share
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In this tutorial, you'll learn how to accept a data share invitation using Azure Data Share. You'll learn how to receive data being shared with you, and how to enable a regular refresh interval to ensure that you always have the most recent snapshot of the data being shared with you.
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In this tutorial, you learn how to accept a data share invitation using Azure Data Share. You learn how to receive data being shared with you, and how to enable a regular refresh interval to ensure that you always have the most recent snapshot of the data being shared with you.
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> [!div class="checklist"]
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> * How to accept an Azure Data Share invitation
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To open invitation from Azure portal directly, search for **Data Share Invitations** in Azure portal. This action takes you to the list of Data Share invitations.
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If you're a guest user of a tenant, you'll be asked to verify your email address for the tenant prior to viewing Data Share invitation for the first time. Once verified, it's valid for 12 months.
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If you're a guest user of a tenant, you are asked to verify your email address for the tenant prior to viewing Data Share invitation for the first time. Once verified, it's valid for 12 months.
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![List of Invitations](./media/invitations.png "List of invitations")
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### [Portal](#tab/azure-portal)
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1. Make sure all fields are reviewed, including the **Terms of Use**. If you agree to the terms of use, you'll be required to check the box to indicate you agree.
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1. Make sure all fields are reviewed, including the **Terms of Use**. If you agree to the terms of use, you are required to check the box to indicate you agree.
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![Terms of use](./media/terms-of-use.png "Terms of use")
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For the **Received Share Name** field, you can leave the default specified by the data provide, or specify a new name for the received share.
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Once you've agreed to the terms of use and specified a Data Share account to manage your received share, Select **Accept and configure**. A share subscription will be created.
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Once you've agreed to the terms of use and specified a Data Share account to manage your received share, Select **Accept and configure**. A share subscription is created.
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![Accept options](./media/accept-options.png "Accept options")
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### [PowerShell](#tab/powershell)
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Use the [New-AzDataShareSubscription](/powershell/module/az.datashare/new-azdatasharesubscription) command to create the Data Share. The InvitationId will be the ID you gathered from the previous step.
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Use the [New-AzDataShareSubscription](/powershell/module/az.datashare/new-azdatasharesubscription) command to create the Data Share. The InvitationId is the ID you gathered from the previous step.
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```azurepowershell
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New-AzDataShareSubscription -ResourceGroupName share-rg -AccountName FabrikamDataShareAccount -Name "Fabrikam Solutions" -InvitationId "89abcdef-0123-4567-89ab-cdef01234567"
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![Target storage account](./media/dataset-map-target-sql.png "Target storage")
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1. For snapshot-based sharing, if the data provider has created a snapshot schedule to provide regular update to the data, you can also enable snapshot schedule by selecting the **Snapshot Schedule** tab. Check the box next to the snapshot schedule and select **+ Enable**. The first scheduled snapshot will start within one minute of the schedule time and subsequent snapshots will start within seconds of the scheduled time.
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1. For snapshot-based sharing, if the data provider has created a snapshot schedule to provide regular update to the data, you can also enable snapshot schedule by selecting the **Snapshot Schedule** tab. Check the box next to the snapshot schedule and select **+ Enable**. The first scheduled snapshot starts within one minute of the schedule time and subsequent snapshots start within seconds of the scheduled time.
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![Enable snapshot schedule](./media/enable-snapshot-schedule.png "Enable snapshot schedule")
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## View history
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This step only applies to snapshot-based sharing. To view history of your snapshots, select **History** tab. Here you'll find history of all snapshots that were generated for the past 30 days.
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This step only applies to snapshot-based sharing. To view history of your snapshots, select **History** tab. Here you find history of all snapshots that were generated for the past 30 days.
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## Clean up resources
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articles/data-share/supported-data-stores.md

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title: Supported data stores in Azure Data Share
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description: Learn about the data stores that are supported for use in Azure Data Share.
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ms.service: azure-data-share
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author: sidontha
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ms.topic: concept-article
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ms.date: 01/21/2026
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# Supported data stores in Azure Data Share
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Azure Data Share provides open and flexible data sharing, including the ability to share from and to different data stores. Data providers can share data from one type of data store, and data consumers can choose a data store to receive the data.
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In this article, you'll learn about the set of Azure data stores that Azure Data Share supports. You'll also learn about how data providers and data consumers can combine different data stores.
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In this article, you learn about the set of Azure data stores that Azure Data Share supports. You also learn how data providers and data consumers can combine different data stores.
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## Supported data stores
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Data consumers can choose to accept the data into Azure Data Lake Storage Gen2 or Azure Blob Storage as a CSV file or parquet file. They can also accept data as tables into Azure SQL Database and Azure Synapse Analytics.
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When consumers accept data into Azure Data Lake Storage Gen2 or Azure Blob Storage, full snapshots overwrite the contents of the target file if the file already exists. When data is received into a table and the target table doesn't already exist, Azure Data Share creates an SQL table by using the source schema. If a target table already exists and it has the same name, it's dropped and overwritten with the latest full snapshot. Incremental snapshots aren't currently supported.
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When consumers accept data into Azure Data Lake Storage Gen2 or Azure Blob Storage, full snapshots overwrite the contents of the target file if the file already exists. When data is received into a table and the target table doesn't already exist, Azure Data Share creates a SQL table by using the source schema. If a target table already exists and it has the same name, it's dropped and overwritten with the latest full snapshot. Incremental snapshots aren't currently supported.
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If a snapshot is interrupted and fails, for example, due to a cancel action, networking issue, or disaster, the next snapshot copies the entire table or view again.
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articles/data-share/terminology.md

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title: Azure Data Share terminology
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description: Learn about common terms used to describe resources used in Azure Data Share (data provider, data consumer, data share, share subscription, snapshot, invitation, recipient.)
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# Azure Data Share Concepts
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# Azure Data Share concepts
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Azure Data Share introduces some new terminology related to data sharing. This article explains some frequently used terms that you could see used throughout the service.
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## Data provider
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A Data provider is the organization that is sharing data with their consumers. Typically the data provider can be an owner or a curator of the data. Data providers want to share data of various types. Some examples of data that a data provider might want to share include raw data, such as point of sales or time series data. A data provider might also want to share preprocessed, curated data that already contains analytics and insights.
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A Data provider is the organization that's sharing data with their consumers. Typically the data provider can be an owner or a curator of the data. Data providers want to share data of various types. Some examples of data that a data provider might want to share include raw data, such as point of sales or time series data. A data provider might also want to share preprocessed, curated data that already contains analytics and insights.
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## Data consumer
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A Data consumer is the organization that is receiving data from a data provider. The data consumer might want to join the shared data with their own data to derive insights. In some cases, the data consumer might be receiving data that has already been processed.
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A Data consumer is the organization that's receiving data from a data provider. The data consumer might want to join the shared data with their own data to derive insights. In some cases, the data consumer might be receiving data that has already been processed.
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## Data Share
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## Recipient
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A recipient is someone that receives an invitation to a data share. Typically, a data provider will add recipients to data share that they create. Once the recipient of an invitation accepts the invitation, they become a data consumer.
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A recipient is someone that receives an invitation to a data share. Typically, a data provider adds recipients to data share that they create. Once the recipient of an invitation accepts the invitation, they become a data consumer.
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## Related content
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