Coolest New Power BI Features Revealed!
Recently the Microsoft Business Applications Summit 2019 highlighted new Power BI features and these are the coolest features to note IMO:
1. New Power BI App Workspace Experience in Preview Power BI App Workspaces were introduced to enable collaboration amongst the data/business analysts within an organization. The new experience introduces numerous improvements to better enable a data-driven culture including:
• Managing access using security groups, distribution lists, and Office 365 Groups
• Not automatically creating an Office 365 group
• API’s for Admins, as well as new tools for Power BI Admins to effectively manage workspaces
2. Printing Reports via Export to PDF
You can now easily print or email copies of reports by exporting all visible pages to PDF.
3. Bookmark Groups
Now you have a way to organize bookmarks into groups for easier navigation.
4. Python Integration in Preview
Now data scientists can use Python in addition to R within Power BI Desktop.
5. New Visual Header
More flexibility and formatting options have been added to the header section of each visual.
6. Tooltips for Table and Matrix Vizs
Report page tooltips are now available for the table and matrix visuals
7. Many to Many Relationships in Preview
You will now be able to join tables using a cardinality of “Many to Many” – prior to this feature, at least one of the columns involved in the relationship had to contain unique values.
And now I’ve saved the best for last!
8. Composite Models in Preview
With this feature, you’ll now be able to seamlessly combine data from one or more DirectQuery sources, and/or combine data from a mix of DirectQuery sources and imported data. For example, you can build a model that combines sales data from an enterprise data warehouse using DirectQuery, with data on sales targets that is in a departmental SQL Server database using DirectQuery, along with some data imported from a spreadsheet.
As you can see there are many new features to digest but it would be well worth your while to follow the links provided.
On a closing note, I’d like to give you a teaser for two new features coming up soon that will have a huge impact on self-service data prep and querying for big data:
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