Forum Discussion
Ranking
Yes. You need to aggregate the data so that the rows returned are below that limit.
This may be a stupid question, but no question is stupid right...:smileyhappy:
How do I aggregate the data?
would i break the table into x number of tables, where x is the number of companies in the database? so each company has its own table and therefore its own information, then link them back up inside Power BI?
Direct Query is designed more to return aggregations that the source DB performs, rather than return the raw data. While filtering always consumes a lot of resources, with an import data model (rather than DQ) it is possible that your structure/model is partly to blame for the performance problems. You should be using a star schema with lookup tables and fact tables. I would recommend going back to an import data model and seeing if you can improve the model structure to get a better response time when slicing the data.