azure-analysis-services

问题 I have about 5 Web Service (API) calls I am using, and none of them are working for me... 4 of them are returning this error: An M partition uses a data function which results in access to a data source different from those defined in the model. But guess what, these very same Web Services work in Power BI desktop. I am in VS working on an AAS Tabular model. Please help - I think this is just a VS bug... 回答1: We had a similar problem but with getting data from an SQL Server in an on-premise

问题 I'm currently trying to create an automation runbook to process a cube in Azure. I've tried multiple PowerShell scripts like this one : $AzureCred = Get-AutomationPSCredential -Name "RefreshTest" Add-AzureRmAccount -Credential $AzureCred | Out-Null Invoke-ProcessASDatabase -databasename "MKTGCube" -server "AzureServerName" -RefreshType "Full" -Credential $AzureCred With that kind of error (despite the fact that I installed the SQLServer module). Invoke-ProcessASDatabase : The term 'Invoke

问题 I am trying to refresh credentials of an (already)deployed Tabular Model via CICD using Azure DevOps. Making use of Invoke-ASCmd in PowerShell to refresh the credentials. The script works fine from local when I provide the Tenant ID, App ID and the Key. However it fails when I run it from Azure Devops with error - User ID and Password are required when user interface is not available. Here is the script: $azureTenantId= "TenantId" $azurePassword = ConvertTo-SecureString "Key" -AsPlainText

问题 I am trying to refresh credentials of an (already)deployed Tabular Model via CICD using Azure DevOps. Making use of Invoke-ASCmd in PowerShell to refresh the credentials. The script works fine from local when I provide the Tenant ID, App ID and the Key. However it fails when I run it from Azure Devops with error - User ID and Password are required when user interface is not available. Here is the script: $azureTenantId= "TenantId" $azurePassword = ConvertTo-SecureString "Key" -AsPlainText

问题 Suppose you have 10 pretty big fact tables (each 50-100 GBs) that should be queried with Power BI. They doesn't fit into Azure Analysis Services RAM (reasonable price). So in order to use tabular model and AAS you have stay with the following schema: (1) Power BI Desktop -> Azure Analysis Services -> [DirectQuery] -> SQL Database But as far as I know from this article, AAS tabular model doesn't cache any aggregated results (means won't imply any additional performance optimizations). Moreover

问题 I'm tring to assess the best approach, in terms of cost and performance, in accessing data and running queries on a dataset using Power BI with Azure Analysis Services or Power BI with Direct Query. I have trie to illustrate both approaches with the following diagram. From the diagram steps 4 and 5 describe accessing data in Azure Data Lake using Power BI with Direct Query. Wherease, steps 4 and 6 describes accessing data using Power BI with Azure Analysis Services. From my own research,

问题 Im running a Azure Webapp with application insight. I know Microsoft cant show the real IP (Client_IP) so I add the real IP address to all requests (Ip). I have a visitor client_id="h9zbt" that in the last 24h is using 48 different client_IP adresses. The same user also has several real IPv6 adresses. I like to block this IP from my website, but I think this looks so strange. Is it really the same user? How is Application insight tracking the User_Id? Image link 回答1: Usually application

问题 Azure data lake analytics and azure databricks both can be used for batch processing. Could anyone please help me understand when to choose one over another? 回答1: In my humble opinion, a lot of it comes down to existing skillsets. If you have a team experienced in Spark, Java, Python, r or Scala then Databricks is a natural fit. If on the other hand you have a team with existing SQL and c# skills, then the learning curve for them with U-SQL will be less steep. That aside, there are other

问题 I need to build cube on Azure analysis services by connecting to Snowflake DB. Seems Azure analysis services does not provide a connector to snowflake. Can anyone suggest how to overcome this. 回答1: First, on your laptop install both the 32-bit and 64-bit ODBC driver for Snowflake. Then open the "ODBC Data Sources (32-bit)" and create a new system DSN called "Snowflake" using the Snowflake ODBC driver. Repeat in the "ODBC Data Sources (64-bit)" app creating another system DSN named identically

问题 I am getting an error while connecting to Azure SSAS server in Power-BI. In Power-BI, I am selecting SQL Server Analysis Services database as a data source and I am selecting Import mode. then it is throwing me an error- "The server parameter must be a valid hostname or HTTP URL." If I use 'Live connection' mode then I am able to connect but I want to do it from 'Import' mode. so how can I get HTTP URL for SSAS server? 回答1: If I understand your question, you're connecting to Azure Analysis