If publishing a Power BI Desktop model to the Power BI service, on the Azure Analysis Services server, ensure the Case-Sensitive collation server property is not selected (default). The Case-Sensitive server property can be set by using SQL Server Management Studio.
Connect in Power BI Desktop
In Power BI Desktop, click Get Data > Azure > Azure Analysis Services database.
In Server, enter the server name. Be sure to include the full URL; for example, asazure://westcentralus.asazure.windows.net/advworks.
In Database, if you know the name of the tabular model database or perspective you want to connect to, paste it here. Otherwise, you can leave this field blank and select a database or perspective later.
Select a connection option and then press Connect.
Both Connect live and Import options are supported. However, we recommended you use live connections because Import mode does have some limitations; most notably, server performance might be impacted during import.
If you have a Power BI model in Mixed storage mode, the Connect live option is replaced by the DirectQuery option. Live connections are also automatically upgraded to DirectQuery if the model is switched from Import to Mixed storage mode.
When prompted to enter your credentials, select Microsoft account, and then click Sign in.
Note
Windows and Basic authentication are not supported.
In Navigator, expand the server, then select the model or perspective you want to connect to, and then click Connect. Click a model or perspective to show all objects for that view.
The model opens in Power BI Desktop with a blank report in Report view. The Fields list displays all non-hidden model objects. Connection status is displayed in the lower-right corner.
Connect in Power BI (service)
Create a Power BI Desktop file that has a live connection to your model on your server.
In Power BI, click Get Data > Files, and then locate and select your .pbix file.
Request Memory Limit
To safeguard the performance of the system, a memory limit is enforced for all queries issued by Power BI reports against Azure Analysis Services, regardless of the Query Memory Limit configured on the Azure Analysis Services server. Users should consider simplifying the query or its calculations if the query is too memory intensive.
Query type
Request Memory limit
Live connect from Power BI
10 GB
DirectQuery from Power BI report in Shared workspace
1 GB
DirectQuery from Power BI report in Premium workspace
To connect Power BI to Azure data sources, you need to configure data connections. Open Power BI and navigate to the "Get Data" option. Select the appropriate Azure connector, such as "Azure SQL Database" or "Azure Data Lake Storage," and provide the necessary connection details.
Azure Analysis Services has scale limits per server, while Power BI Premium's are per model. When working with multiple data models, Power BI Gen2 can be a less expensive choice.
In Azure portal > server > Overview > Server name, copy the server name.In SSMS > Object Explorer, click Connect > Analysis Services. Authentication type, Active Directory - Universal with MFA support, is recommended. If you sign in with a Microsoft Account, Live ID, Yahoo, Gmail, etc., leave the password field blank.
In Excel, open the Data tab and choose Get Data -> From Other Sources -> From Microsoft Query. Choose the AAS DSN. Select the option to use Query Wizard to create/edit queries. In the Query Wizard, expand the node for the table you would like to import into your spreadsheet.
At the server level, Analysis Services provides firewall, Azure authentication, server administrator roles, and Server-Side Encryption. At the data model level, user roles, row-level, and object-level security ensure your data is safe and gets seen by only those users who are meant to see it.
To be clear, currently there aren't any plans to deprecate AAS. There is a priority to focus investment on Power BI Premium for enterprise data modeling, and so the additional value provided by Power BI Premium will increase over time.
While AAS is more ideal for organizations with the need of a fully managed cloud-based solution, the on-premises SSAS is more suitable for projects with specific compliance requirements.
Azure Synapse Analytics is great at both data storage and processing, while other applications, such as the Analysis Services, are better for maintaining aggregates, thereby improving its data pipelining service. This assortment is also superior in terms of efficiency and safety.
To connect to Synapse SQL, open Azure Data Studio and select New Connection.Choose Microsoft SQL Server as the Connection type. The connection requires the following parameters: Server: Server in the form <Azure Synapse workspace name> -ondemand.sql.azuresynapse.net.
Introduction: My name is Terrell Hackett, I am a gleaming, brainy, courageous, helpful, healthy, cooperative, graceful person who loves writing and wants to share my knowledge and understanding with you.
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