In theApril update of Power BI Desktop, we released the ability to connect to datasets in the Power BI service. This feature allows you to create new reports off existing datasets you’ve already published to the cloud. You can leverage this feature to better collaborate and reduce dup...
To prevent this kind of problem to happen again in the future, I'd like to have a list of actions that could cause the error related to the connection of other datasets. 1. What actions performed at original dataset/workspace that could cause the connection error (i.e. changing works...
This approach can be prone to problems related to data volume. Fetching large datasets from Jira usingcurland manually loading them into Power BI can cause performance issues or processing failures. Next Steps Share and collaborate on interactive data visualizations using Power BI Pro for self-servic...
Therefore, the goal is pull datasets (database is already connected to PBI) into excel via refreshable flat tables. I'm 99% positive this can be done (if PBI can connect to excel via a pivot table - why not a flat table), but I'm lost on how to establish the connection string...
Connecting from Power BI desktop The PBI developer creating datasets and reports need to connect to the ADX cluster using Power BI desktop. To establish such a connection, the user’s IP address should be allowed access to the private end point. ...
You need to create a relationship between the two datasets like the below. The phone numbers in the "List of numbers" table should match the phone numbers in either the Outgoing number or Incoming number columns of the "Communication" table. Once you create the relationship please create a me...
In response to shampayne 10-23-2018 09:51 PM Thanks for sharing, after a few tries I came to the same conclusion, it is pretty frustrating that automatic refresh is exclusively destinated to datasets established on Power BI service. I need the pbi desktop query ed...
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157 While the statistics improve in this context, interpretation can be challenging due to the often ‘black-box’ nature of ML models. Interestingly, this group leveraged the interpolative ability of the ML model to construct virtual datasets, allowing them to derive catalyst generality values, a...