TMSL Alter Column Description
I am a noob in TMSL and I need your help. I am trying to add a description to the column in Power BI Services with a command: { "alter ": { "object": { "database": "dataset_test", "table": "005_SHIP_TO_LOCATIONS", "column":"CREATION_DATE" }, "column": { "name": "CREATION_DATE", "description":"This is the new description" } } } The error I get is: Unrecognized command: alter . Check path '['alter ']', line 2, position 13. Could you help me to make it work? This is Power BI Premium and I TMSL works for table name modification, but I can't figure out how to change the column description.
Connect to Power BI Dataset using XMLA EndPoint Authentication
Hi, We have a requirement to have a backup solution that allows end users to view critical reports in the event of Azure Active Directoy AAD going down (like what happened last year for a number of hours). Currently our planned backup solution will consist of using Power BI Report server. Currently all our reports, a combination of Desktop and paginated reports use live connections to a number of datasets published to the Power BI Service. Our backup solution aims to create data sources and datasets on the Power BI Report server from these datasets using XMLA endpoints and scheduling refreshes once a day so in the event that the Power BI Service goes down or AAD going down for a period of time we have this temporary backup of datasources and reports on Power BI Report server to use until the Power BI Service is backup and running. This may never happen but we were asked to have a solution in place if it does. Our issue currently: We are using a embedded capacity NOT a premium capacity at the moment. We are trying to connect to the datasets on the Power BI Service from Power BI Report server using the XMLA endpoint. Details of how to do this were taken from the "Hybrid Use Case" section in the link below https://www.bluegranite.com/blog/tips-for-a-successful-power-bi-report-server-implementation . We have the XMLA endpoint enabled on the service but we are unable to connect to the dataset just yet. We are getting errors as we are not entirely sure which authentication method to use. Note we did try the belwo connection string with spaces also. Firstly, do we require a Premium capacity for this to work properly? Secondly, if not what authentication method should we use? Thanks.
