Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.

Reply
PBCIT
Frequent Visitor

Modeling and Shared Datasets

Ok here is a question for you all, and I'm sure there is a good solution that I am just not seeing. Currently, I've started utilizing Power BI Shared Datasets and I love it, they've been a lot easier to manage. I use an on-prem data gateway on a virtual machine and I have all my different sources in it. Here's the question though. There are tables in a database I use that I've found I use in many other datasets, but there are also additional sources that are only used for a particular report/app. I don't like seeing my data duplicated in other datasets, however I don't know if I should consolidate and add all the sources to the one shared dataset as I don't want that shared dataset to become too large (not to mention the relationships between the different sources can get a little dicey and I usually have to be creative to get them to model together and I worry putting those together would ruin my data model schema). Is it better to have all of the data sources in one large dataset, or is it better to try to condense it down as much as possible and if there is a unique source for a report, create a separate dataset for the report to save on dataset capacity and to opt for simpler schemas?

1 ACCEPTED SOLUTION
amitchandak
Super User
Super User

@PBCIT , I think division should be based on work Area. If you are on premium, you might like to have one large dataset. Other keep it work Area wise.

View solution in original post

1 REPLY 1
amitchandak
Super User
Super User

@PBCIT , I think division should be based on work Area. If you are on premium, you might like to have one large dataset. Other keep it work Area wise.

Helpful resources

Announcements
Microsoft Fabric Learn Together

Microsoft Fabric Learn Together

Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City

PBI_APRIL_CAROUSEL1

Power BI Monthly Update - April 2024

Check out the April 2024 Power BI update to learn about new features.

April Fabric Community Update

Fabric Community Update - April 2024

Find out what's new and trending in the Fabric Community.