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Hi,
i have like 50 tables in a database, my main idea is extracting specific data to make calculations from it but the problem is the data is spread in like 6 tables totally apart from each other, and other problem is i cant just mix those tables bcs they dont have a direct correlation to match their info, for example: i have the table user and the table career, the career just have an identification and career name and user just have their personal info and their identification so i cant prove wich career belongs to who.
what im asking for is wich can be a good practice to manipulate the tables (one table can easily reach 2m rows), do i have to create a new table through dax code? or just mix most of the tables i need or get the data through measures? i dont really know how to filter a lot of data from differents tables to get just one result (for example the user and his career) to later make calculations.
thx
Solved! Go to Solution.
Hey @usuario112 ,
do you have access to create views in the database? If yes, then this would be my preferred approach.
Otherwise I would load the data in a dataflow and then you can do the operations there.
If you need any help please let me know.
If I answered your question I would be happy if you could mark my post as a solution ✔️ and give it a thumbs up 👍
Best regards
Denis
Blog: WhatTheFact.bi
Follow me: twitter.com/DenSelimovic
Hey @usuario112 ,
do you have access to create views in the database? If yes, then this would be my preferred approach.
Otherwise I would load the data in a dataflow and then you can do the operations there.
If you need any help please let me know.
If I answered your question I would be happy if you could mark my post as a solution ✔️ and give it a thumbs up 👍
Best regards
Denis
Blog: WhatTheFact.bi
Follow me: twitter.com/DenSelimovic
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