![]() ![]() You need a sudo user account on the servers that you want to discover. Permissions for Linux serverįor Linux servers, based on the features you want to perform, you can create a user account in one of two ways: Option 1 Azure Migrate requires a Windows user account that is a member of the sysadmin server role. ![]() You can provide credentials of both authentication types in the appliance configuration manager. To discover SQL Server databases on Windows Servers, both Windows and SQL Server authentication are supported. Type of servers: Bare metal servers, virtualized servers running on-premises or other clouds like AWS, GCP, Xen etc. Physical server deployment: The physical server can be standalone or deployed in a cluster. You can assess up to 35,000 servers in a single assessment. You can add up to 35,000 servers in a single group. ![]() The Azure Migrate appliance can discover up to 1000 physical servers. In addition to physical servers, a project can include servers on VMware and on Hyper-V, up to the assessment limits for each. You can create multiple projects in an Azure subscription. You can discover and assess up to 35,000 physical servers in a single project. After discovery is complete, you gather discovered servers into groups, and run an assessment for a group. The appliance continuously discovers on-premises servers, and sends servers metadata and performance data to Azure. After adding the tool, you deploy the Azure Migrate appliance. To assess physical servers, you create a project, and add the Azure Migrate: Discovery and assessment tool to the project. If you want to migrate physical servers to Azure, review the migration support matrix. You can always run SSAS Multidimensional in a virtual machine in Azure if you need to move to the cloud and there are VM images to make that easy.This article summarizes prerequisites and support requirements when you assess physical servers for migration to Azure, using the Azure Migrate: Discovery and assessment tool. Simple cubes should be easy to rebuild more complex cubes, for example those with parent/child hierarchies, custom rollups or SCOPE statements for example, will be much more difficult to migrate and you may need to accept that you can’t reproduce some functionality exactly. You’ll need to rebuild your existing cubes and calculations from scratch manually in Power BI (there are no tools to automate migration because it isn’t possible to build them). Migration from SSAS Multidimensional to Power BI is a much more difficult task. Don’t think about migrating to Azure Analysis Services instead – we’re already encouraging people to migrate from AAS to Premium! My colleague Dan English just posted a great walkthrough of the new AAS to Premium migration experience here, which is worth checking out. As a member of the Power BI product group I would add that you should also consider migrating all your on-prem SSAS Tabular models to Power BI Premium if you can: Power BI Premium is the strategic direction for enterprise BI as well as self-service BI and that’s where all the investment is going from now on. There are no deprecated features but Multidimensional’s data mining features and PowerPivot for SharePoint are now officially discontinued (which means that they are now no longer supported – see the definition of “discontinued” here).Īs a Microsoft employee, obviously I’m going to say you should upgrade to SQL Server 2022. The new cloud-billing model announced here is only applicable to the SQL core engine and not to SSAS, SSRS or SSIS. All the features are applicable to SSAS Tabular although some are applicable to SSAS Multidimensional too there are also a few other minor optimisations that aren’t listed. Probably the most important in my opinion is MDX Fusion, the main effect of which is to improve the performance of Excel PivotTables and cube-function-based reports connected to SSAS Tabular – I saw some cases where MDX queries ran a lot faster when this rolled out for Power BI. Most of the items listed here are performance optimisations, most of which have been available in Power BI and Azure Analysis Services for some time now (although we haven’t got parallel execution plans for DirectQuery in Power BI just yet □). There’s nothing about Analysis Services in the SQL Server 2022 GA announcement blog post, but you can find a list of what’s new here: All the same there are still a lot of people running SSAS on-premises and SQL Server 2022 has just been released, so what’s new and is it worth upgrading? New functionality! New things to blog about! Not so now that my focus, and Microsoft’s, is on Power BI and we get cool new functionality there every month. There was a time when a new release of SQL Server – and therefore a new release of SQL Server Analysis Services – was the most exciting thing in the world for me. ![]()
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