Expanding records in Power BI from oData feed for Azure DevOps But I've decided to pull in the corresponding tables and create relationships with the filtered WorkItems table Every field that I want to expand has a unique surrogate key that I can use to connect to the reference tables and pull in the necessary information
sql server - Power BI - How to use native query AND query folding for . . . To my knowledge, if you are not writing any server-side query for the transformation and you want all the transformation to happen through M, enabling query folding helps in succeeding steps, as equivalent syntaxes get translated to foldable source But in your case, you are doing the whole transformation server side
mysql - How to connect SQL queries to PowerBI - Stack Overflow To check if folding is happening: Open Power Query Editor > Right-click the last step in the Applied Steps pane > Select View Native Query (if available) Imagine we have a table named SalesData with columns: OrderID, CustomerName, OrderDate, Product, Quantity, and SalesAmount
Excel Create Collapsible Indented Row Hierarchies Create a Pivot Table It has these features and many more If you are dead-set on doing this yourself then you could add shapes to the worksheet and use VBA to hide and unhide rows and columns on clicking the shapes
Why is query folding disabled in Power Query after adding a computed . . . 0 In Power BI desktop, I pulled some columns off a SQL Server table in Import mode During transformation, there are 2 columns using which I want to build a third computed column: something like isnull(col1,col2) as 'col3' if I had to write it in SQL But problem is that query folding is lost at this step
WorkItemRevision conditioned on WorkItems values You can try to separately retrieve all revisions of the work item into a table, and finally merge two tables Refer to this blog Creating a Revision History in PowerBI from Azure DevOps data for the details
Unexpected data changes after making use of the add index column . . . 0 Indexing messes the data in the backend Each time we refresh the data the random indexes are formed We need to use Table Buffer () to create a local copy of the table Table Buffer protects from this folding Before merging both tables, use Table Buffer on each table, then do the merge Problem discussed on BI community here
How can I add a table of contents to a Jupyter JupyterLab notebook? 2 As Ian already pointed out, there is a table-of-contents extension by minrk for the IPython Notebook I had some trouble to make it work and made this IPython Notebook which semi-automatically generates the files for minrk's table of contents extension in Windows