Authentication. For example, when connecting from a non-domain joined computer. Once again our Service Principals are environment dependent, so we have these parameters piped in from Azure Pipelines. Pondering all this led me to my next discovery…. Seeing as we want to handle deployments, we are going to make use of the CreateOrReplace command. Azure portal is where you can create and delete servers, monitor server resources, change size, and manage who has access to your servers. Functionally, models at or above compatibility level 1200 (and therefore all AAS Tabular Models) have their model structure expressed in JSON. ← Azure Analysis Services Ability to use windows authentication in Excel If we create excel template with pivot tables and then share it among users they have to input login and password … We have made a couple of key assumptions with the code above, namely: N.B. At the core of the AAS Project is the Model.bim, the file which contains all the important information the model needs to function correctly — data sources, measure definitions, roles and more. You can read more about how to set this up here. Connecting to your server in Azure is just like connecting to a server instance in your own organization. 3. Choose from: Windows authentication. Azure Analysis Services uses Azure Active Directory (Azure AD) for identity management and user authentication. This is particularly useful for updating the “Data Source” connection string as this typically varies depending on environment. The syntax is incredibly straightforward — we already have the Model.bim in memory which is the exact syntax the CreateOrReplace command is looking for in its database attribute. that this would be as simple as selecting a preconfigured task on the Release Pipeline to handle a DACPAC deployment…. When you build and deploy your data model from Visual Studio, your are prompted for the credentials to access ADLS which are then stored in the data source object of AAS. This is certainly the case for other services like Azure Data Lake. In Azure Analysis Services, there are two types of users, server administrators and database users. In our current example we go ahead and deploy the updated Model.bim, but what if we wanted to export the .bim, or the TMSL script we had made instead? To learn more, see Server administrators and database users later in this article. We can also remove any properties that we don’t want to keep, for example the “Roles” property on the model as we may already have preconfigured roles setup across our deployed models. All three client libraries support both Azure AD interactive flow, and non-interactive authentication methods. Changing to Powershell 5 solved this. You can read more about these logging commands here. You can provide a Windows user identity using any of the following methods: NTLM. ), and the full list can be reviewed in the Tabular Editor Wiki found here. By default, AzureServiceTokenProvider tries the following authentication methods, in order, to retrieve a token: A managed identity for Azure resources; Visual Studio authentication; Azure CLI authentication; … If you've deployed a model to your server, you're ready to connect to it using a client or browser. After executing this code we have successfully deployed our model! If you wanted to test this code locally and didn’t want to use a Service Principal, you could use your own e-mail assuming you have permissions to set yourself as an admin on the AAS instance. The authentication method to use when logging in to the external data source. To get around this we must come up with a different approach — first up, let’s see what we can cook up ourselves. If your Azure Analysis Service server is using SQL2019 version 15.0.10.25. Service Principal is the chosen authentication method, since it works non-interactively within Azure Pipelines. Unfortunately AAS Tabular Models provide a unique challenge for CI/CD via Azure Pipelines as they do not currently have a native task supported in either the Build or Release pipelines. Client applications like Excel and P… If for whatever reason the Model.bim in your project is named differently across projects, then you would need to add this to the configuration document. This parameter specifies that this should not be deployed to the server listed in the -D parameter, but rather that the underlying XMLA (or in our case, TMSL) that would be deployed is instead written out. Since we are already using Powershell and our model is above compatibility level 1200, we can leverage Tabular Model Scripting Language (TMSL) — an incredibly powerful syntax that expresses AAS models in JSON and allows us to execute commands to create, alter, or delete existing models. Unlike editing within Visual Studio, you can make changes directly against the Model.bim file on your machine without needing to deploy it to a Workspace Server. All calls must be authenticated with a valid Azure Active Directory (OAuth 2) token in the Authorization header and must meet the following requirements: The token must be either a user … Hopefully this write up has given you an insight into how we can manage automated deployments of Tabular Models for CI/CD. 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. Username and password ... for example when you connect to an Azure Analysis Services instance. While we have shown that this Powershell deployment does work in principal, it’s still obvious that a lot of configurations and tweaks would need to be made in order to support running this across multiple models — that’s not to say we couldn’t do it all in PowerShell, but supporting all the different environments and edge cases could get a little tricky! What this script is doing is replacing the data source found in the Model.bim with a standardized placeholder which we subsequently swap out in our -C parameter call. The call to Tabular Editor itself is handled through the use of multiple command line parameters and switches, but what are they actually doing? Within our project the Username/Password of the SQL DB instances are environment dependent, hence the values are not specified in the configurations function but instead passed in to the script from Key Vault through Azure Pipelines. Before you connect, you need to get the server name. The primary reason I’ve … Given how great it is, it is probably not much of a surprise then to find out it has a very robust and powerful command line executable which is perfect for our requirements! Method: POST (used for ... Next you must click on authentication parameter below the Cookie option. You will need to use an app to circumvent the two factor authentication … There are plenty more parameters and switches beyond what I have used them for (outputting the updated .bim only, removing roles from deployment, etc. If you haven't already deployed a tabular model to your new server, now is a good time. I was fairly surprised to see that this authentication mechanism wasn't working between the two products. Specifically, you can use Anonymous connections and Basic authentication when configuring Analysis Services for … Once we’ve done that, updating existing properties is trivial — we can access them using the dot notation to traverse the object and update individual properties as needed. This will initiate the interactive sign in flow. Nothing is cached to disc. Deployment of TMSL commands is handled through the Invoke-ASCmd cmdlet — allowing us to execute any XMLA (including TMSL), MDX, or DMX statement against an AS Model of our choosing. Currently we managed to connect through Data option … In Azure portal > server > Overview > Server name, copy the server name. & "$PSScriptRoot\..\..\Dependencies\Tabular Editor\TabularEditor.exe" "$PSScriptRoot\..\..\..\AzureAnalysisServices\$($_.ProjectModelName)\Model.bim", -S "$PSScriptRoot\..\..\Dependencies\ConnectionStringCleanup.cs" `, -C "Placeholder" "Provider=SQLOLEDB.1;Data Source=$($_.TargetSQLDataSourceServer);Persist Security Info=True;User ID=$($TargetSQLDataSourceUsername);Password=$($TargetSQLDataSourcePassword);Initial Catalog=$($_.TargetSQLDataSourceDatabase)", -D "Provider=MSOLAP;Data Source=$($_.TargetASServer);User ID=$($ASServicePrincipal);Password=$($ServicePrincipalApplicationSecret);Persist Security Info=True;Impersonation Level=Impersonate" "$($_.TargetASDatabaseName)", -X "$PSScriptRoot\..\..\Deployment\AnalysisServices\bin\$($_.TargetASDatabaseName).tmsl", Serverless Architecture — Complete Reference Guide [2019], sweetest — create tests you actually love working with, Redux Core Principles Explained with Simple Terms, The Az-Context is already set. The two non-interactive methods, Active Directory Password and Active Directory Integrated Authentication methods can be used in applications utilizing AMOMD and MSOLAP. Active Directory - Universal with MFA support to use non-interactive or multi-factor authentication. 1. Not only that, but what if we wanted to support different types of outputs depending on whether it is a build or a deploy? Note that while we only require the Model.bim in order to deploy, we should still have the models build using an MSBuild task in our Build Pipeline to ensure the integrity of the model. BISM Normalizer is a free and open-source tool to manage Analysis Services tabular models created by Christian Wade (who’s now working on the Azure AS team for Microsoft). Set up the APP for Analysis Services. For sensitive configurations such as the Service Principal and SQL Authentication details we don’t explicitly write the value against the variable but rather as a reference to an associated Key Vault value. Go to Solution. Use Azure Resource Manager to create and deploy an Azure Analysis Services instance within seconds, and use backup restore to quickly move your existing models to Azure Analysis Services … Process Azure Analysis Services model using Logic App. Azure Data Factory. Service Principal is the chosen authentication method, since it works non-interactively within Azure Pipelines. From a usage perspective we can run both of our approaches through a simple Azure Powershell task on the Release pipeline. SQL Server Management Studio (SSMS) is used to manage AAS & any models created inside AAS. Data files within Blob are encrypted using Azure Blob Server Side Encryption (SSE). Active Directory Password Authentication to use an organizational account. non-interactive or multi-factor authentication, Get data from Azure Analysis Services server. As you probably know, AAS uses OAuth authentication to access data from ADLS. 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