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Hi community,
This is a tough one. Hope you could shed some light. Been a couple of days thinking about how to set this up and can't find the right approach. I am dealing with a large dataset that is arranged in a table format with the following headers (items):
The dataset is then composed of these six items and the are thousands of rows (monthly dates since 2004 up to 2020). This dataset is the one (or if break into smaller datasets are going to be the ones) that I will import to Power Bi.
So, I want to arrange the dataset in more columns or multiple smaller datasets to make the following calculation with DAX (or any recommended feature):
Any hint or way to design the data-table in a way to be imported to Power Bi and recreate the foregoing?
Solved! Go to Solution.
Having thousands of rows is not a problem for Power BI. The only reason I can think of to break it into multiple tables is to set up dimension tables for a nice star schema.
Relevant links on star schemas in Power BI:
https://docs.microsoft.com/en-us/power-bi/guidance/star-schema
https://www.sqlbi.com/articles/the-importance-of-star-schemas-in-power-bi/
https://radacad.com/power-bi-basics-of-modeling-star-schema-and-how-to-build-it
Having thousands of rows is not a problem for Power BI. The only reason I can think of to break it into multiple tables is to set up dimension tables for a nice star schema.
Relevant links on star schemas in Power BI:
https://docs.microsoft.com/en-us/power-bi/guidance/star-schema
https://www.sqlbi.com/articles/the-importance-of-star-schemas-in-power-bi/
https://radacad.com/power-bi-basics-of-modeling-star-schema-and-how-to-build-it
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