Question

How can I make changes to a large Power BI dataset after performing a TMSL refresh? Are there best practices for handling this?
I’m looking to understand how to modify a large Power BI dataset after conducting a TMSL refresh. Are there any best practices or techniques to ensure that changes are efficient and do not disrupt the dataset or performance?

Answer 1

Here are some time-saving strategies to get you through the substantial transformation of a Power BI data model post a TMSL refresh:

Testing Changes: Make sure that you do not affect productivity and deposit back the changes in a development environment.

Incremental Refresh: Deactivate the old method and shorten the refresh time right down.

Performance Enhancements: Simplify DAX calculations, eliminate superfluous columns, and create aggregate tables.

Fewer alterations in relationships: Develop the schema in such a way that there is a minimal effect on relationships and dependencies.

Performance Monitoring: Use Performance Analyzer to trace the causes that made queries or visuals rather slow.

Backup And Version Control: It is always secure to have a fully backed-up model and use the version control.