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Copy file name to clipboardExpand all lines: articles/analysis-services/analysis-services-gateway.md
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@@ -4,15 +4,15 @@ description: An On-premises gateway is necessary if your Analysis Services serve
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author: minewiskan
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ms.service: azure-analysis-services
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ms.topic: conceptual
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ms.date: 11/09/2021
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ms.date: 02/02/2022
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ms.author: owend
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ms.reviewer: minewiskan
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---
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# Connecting to on-premises data sources with On-premises data gateway
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The on-premises data gateway provides secure data transfer between on-premises data sources and your Azure Analysis Services servers in the cloud. In addition to working with multiple Azure Analysis Services servers in the same region, the latest version of the gateway also works with Azure Logic Apps, Power BI, Power Apps, and Power Automate. While the gateway you install is the same across all of these services, Azure Analysis Services and Logic Apps have some additional steps.
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The On-premises data gateway provides secure data transfer between on-premises data sources and your Azure Analysis Services servers in the cloud. In addition to working with multiple Azure Analysis Services servers in the same region, the gateway also works with Azure Logic Apps, Power BI, Power Apps, and Power Automate. While the gateway you install is the same across all of these services, Azure Analysis Services and Logic Apps have some additional steps required for successful installation.
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Information provided here is specific to how Azure Analysis Services works with the On-premises Data Gateway. To learn more about the gateway in general and how it works with other services, see [What is an on-premises data gateway?](/data-integration/gateway/service-gateway-onprem).
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Information provided here is specific to how Azure Analysis Services works with the On-premises data gateway. To learn more about the gateway in general and how it works with other services, see [What is an On-premises data gateway?](/data-integration/gateway/service-gateway-onprem).
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For Azure Analysis Services, getting setup with the gateway the first time is a four-part process:
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-**Create a gateway resource in Azure** - In this step, you create a gateway resource in Azure.
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-**Connect the gateway resource to servers** - Once you have a gateway resource, you can begin connecting servers to it. You can connect multiple servers and other resources provided they are in the same region.
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-**Connect the gateway resource to servers** - Once you have a gateway resource, you can begin connecting your servers to it. You can connect multiple servers and other resources provided they are in the same region.
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## Installing
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When installing for an Azure Analysis Services environment, it's important you follow the steps described in [Install and configure on-premises data gateway for Azure Analysis Services](analysis-services-gateway-install.md). This article is specific to Azure Analysis Services. It includes additional steps required to setup an On-premises data gateway resource in Azure, and connect your Azure Analysis Services server to the resource.
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When installing for an Azure Analysis Services environment, it's important you follow the steps described in [Install and configure on-premises data gateway for Azure Analysis Services](analysis-services-gateway-install.md). This article is specific to Azure Analysis Services. It includes additional steps required to setup an On-premises data gateway resource in Azure, and connect your Azure Analysis Services server to the gateway resource.
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## Connecting to a gateway resource in a different subscription
All client applications and tools use one or more of the Analysis Services [client libraries](/analysis-services/client-libraries?view=azure-analysis-services-current&preserve-view=true) (AMO, MSOLAP, ADOMD) to connect to a server.
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All three client libraries support both Azure AD interactive flow, and non-interactive authentication methods. The two non-interactive methods, Active Directory Password and Active Directory Integrated Authentication methods can be used in applications utilizing AMOMD and MSOLAP. These two methods never result in pop-up dialog boxes.
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All three client libraries support both Azure AD interactive flow, and non-interactive authentication methods. The two non-interactive methods, Active Directory Password and Active Directory Integrated Authentication methods can be used in applications utilizing AMOMD and MSOLAP. These two methods never result in pop-up dialog boxes for sign in.
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Client applications like Excel and Power BI Desktop, and tools like SSMS and Analysis Services projects extension for Visual Studio install the latest versions of the libraries when updated to the latest release. Power BI Desktop, SSMS, and Analysis Services projects extension are updated monthly. Excel is [updated with Microsoft 365](https://support.microsoft.com/office/when-do-i-get-the-newest-features-for-microsoft-365-da36192c-58b9-4bc9-8d51-bb6eed468516). Microsoft 365 updates are less frequent, and some organizations use the deferred channel, meaning updates are deferred up to three months.
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Client applications like Excel and Power BI Desktop, and tools like SSMS and Analysis Services projects extension for Visual Studio install the latest versions of the client libraries with regular updates. Power BI Desktop, SSMS, and Analysis Services projects extension are updated monthly. Excel is [updated with Microsoft 365](https://support.microsoft.com/office/when-do-i-get-the-newest-features-for-microsoft-365-da36192c-58b9-4bc9-8d51-bb6eed468516). Microsoft 365 updates are less frequent, and some organizations use the deferred channel, meaning updates are deferred up to three months.
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Depending on the client application or tool you use, the type of authentication and how you sign in may be different. Each application may support different features for connecting to cloud services like Azure Analysis Services.
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Depending on the client application or tools you use, the type of authentication and how you sign in may be different. Each application may support different features for connecting to cloud services like Azure Analysis Services.
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Power BI Desktop, Visual Studio, and SSMS support Active Directory Universal Authentication, an interactive method that also supports Azure AD Multi-Factor Authentication (MFA). Azure AD MFA helps safeguard access to data and applications while providing a simple sign-in process. It delivers strong authentication with several verification options (phone call, text message, smart cards with pin, or mobile app notification). Interactive MFA with Azure AD can result in a pop-up dialog box for validation. **Universal Authentication is recommended**.
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Power BI Desktop, Visual Studio, and SSMS support Active Directory Universal Authentication, an interactive method that also supports Azure AD Multi-Factor Authentication (MFA). Azure AD MFA helps safeguard access to data and applications while providing a simple signin process. It delivers strong authentication with several verification options (phone call, text message, smart cards with pin, or mobile app notification). Interactive MFA with Azure AD can result in a pop-up dialog box for validation. **Universal Authentication is recommended**.
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If signing in to Azure by using a Windows account, and Universal Authentication is not selected or available (Excel), [Active Directory Federation Services (AD FS)](/windows-server/identity/ad-fs/deployment/how-to-connect-fed-azure-adfs) is required. With Federation, Azure AD and Microsoft 365 users are authenticated using on-premises credentials and can access Azure resources.
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## User permissions
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**Server administrators** are specific to an Azure Analysis Services server instance. They connect with tools like Azure portal, SSMS, and Visual Studio to perform tasks like adding databases and managing user roles. By default, the user that creates the server is automatically added as an Analysis Services server administrator. Other administrators can be added by using Azure portal or SSMS. Server administrators must have an account in the Azure AD tenant in the same subscription. To learn more, see [Manage server administrators](analysis-services-server-admins.md).
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**Server administrators** are specific to an Azure Analysis Services server instance. They connect with tools like Azure portal, SSMS, and Visual Studio to perform tasks like configuring settings and managing user roles. By default, the user that creates the server is automatically added as an Analysis Services server administrator. Other administrators can be added by using Azure portal or SSMS. Server administrators must have an account in the Azure AD tenant in the same subscription. To learn more, see [Manage server administrators](analysis-services-server-admins.md).
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**Database users** connect to model databases by using client applications like Excel or Power BI. Users must be added to database roles. Database roles define administrator, process, or read permissions for a database. It's important to understand database users in a role with administrator permissions is different than server administrators. However, by default, server administrators are also database administrators. To learn more, see [Manage database roles and users](analysis-services-database-users.md).
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ms.topic: conceptual
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ms.date: 10/28/2019
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---
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# Manage Analysis Services
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Once you've created an Analysis Services server in Azure, there may be some administration and management tasks you need to perform right away or sometime down the road. For example, run processing to the refresh data, control who can access the models on your server, or monitor your server's health. Some management tasks can only be performed in Azure portal, others in SQL Server Management Studio (SSMS), and some tasks can be done in either.
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Once you've created an Analysis Services server resource in Azure, there may be some administration and management tasks you need to perform right away or sometime down the road. For example, run processing to the refresh data, control who can access the models on your server, or monitor your server's health. Some management tasks can only be performed in Azure portal, others in SQL Server Management Studio (SSMS), and some tasks can be done in either.
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## Azure portal
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[Azure portal](https://portal.azure.com/) is where you can create and delete servers, monitor server resources, change size, and manage who has access to your servers. If you're having some problems, you can also submit a support request.
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## External open source tools
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**Tabular Editor** - An open-source tool for creating, maintaining, and managing tabular models using an intuitive, lightweight editor. A hierarchical view shows all objects in your tabular model. Objects are organized by display folders with support for multi-select property editing and DAX syntax highlighting. XMLA read-only is required for query operations. Read-write is required for metadata operations. To learn more, see [tabulareditor.github.io](https://tabulareditor.github.io/).
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**ALM Toolkit** - An open-source schema compare tool for Analysis Services tabular models and Power BI datasets, most often used for application lifecycle management (ALM) scenarios. Perform deployment across environments and retain incremental refresh historical data. Diff and merge metadata files, branches and repos. Reuse common definitions between datasets. Read-only is required for query operations. Read-write is required for metadata operations. To learn more, see [alm-toolkit.com](http://alm-toolkit.com/).
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**DAX Studio** – An open-source tool for DAX authoring, diagnosis, performance tuning, and analysis. Features include object browsing, integrated tracing, query execution breakdowns with detailed statistics, DAX syntax highlighting and formatting. XMLA read-only is required for query operations. To learn more, see [daxstudio.org](https://daxstudio.org/).
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## Server administrators and database users
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In Azure Analysis Services, there are two types of users, server administrators and database users. Both types of users must be in your Azure Active Directory and must be specified by organizational email address or UPN. To learn more, see [Authentication and user permissions](analysis-services-manage-users.md).
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## Troubleshooting connection problems
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When connecting using SSMS, if you run into problems, you may need to clear the login cache. Nothing is cached to disc. To clear the cache, close and restart the connect process.
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## Next steps
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If you haven't already deployed a tabular model to your new server, now is a good time. To learn more, see [Deploy to Azure Analysis Services](analysis-services-deploy.md).
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If you've deployed a model to your server, you're ready to connect to it using a client or browser. To learn more, see [Get data from Azure Analysis Services server](analysis-services-connect.md).
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If you've deployed a model to your server, you're ready to connect to it using a client application or tool. To learn more, see [Get data from Azure Analysis Services server](analysis-services-connect.md).
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