When exploring and analyzing data, wemayneed toaddcolored icons to help us visually identify patterns and trends.Currently,there are two main ways to add icons. 1.Icon sets for conditional formatting a) built-in icon sets b) custom icon sets(jsonfileof theme) 2.Conditionalfields a) SVG xml, Img URL, Built-in icon name b)Html-code of Unicode characters
It was already announced since the end of 2020 that there would be an update in Power BI Premium capacities. After being in preview for some time, “Generation 2” or “Gen2” short, as the new version is called, is now generally available.
But what is the difference to the current Power BI Premium and what is going to change? Everything you need to know about Power BI Premium Generation 2 will be explained in this article.
Did you know that Power BI offers an Export API which can be used export Power BI reports into commonly used file formats including PDF, XLSX, CSV, XML, PPTX and PNG. The November session of Power BI Dev Camp session explains how to write the code to export both Power BI reports and paginated reports and explains the differences in supported output formats.
With the rollout of Aggregated Tables in PowerBI, we gained some much-anticipated functionality to improve performance large datasets. The problem I’ve run into is that aggregation is very subjective and can still result in datasets that are still too large for publishing to PowerBI cloud. Additionally, it can take a frustrating amount of time for those aggregate tables to import into a developer’s local instance of PowerBI Desktop. In this article, I’d like to show you how you can leverage PowerBI's Aggregation, functionality, Direct Query and a simple calculation group to partition an aggregated table by Current (import) and Archive (Direct Query) periods. This is one way to work with aggregated tables within the constraints of your licensed capacity and budget. There are definitely caveots to this approach that I will cover along the way.
Scenario: Microsoft 365 usage analytics provides a dashboard in Power BI that offers insights into how users adopt and use Microsoft 365. We can find and use it in Power BI Service apps. But if you still want to get personalized or deeper insights, how will you connect the data model to create a report in Power BI Desktop?