Someone To Chat With For A Few Minutes

[powerboss]

So I have a lot of data to work with and I'm trying to figure out if I should do the gargantuan task of creating new tables in SQL using joins and merges, or if I should just write a lot of convoluted DAX formulas to make these tables work. 

I've already done a ton of calculated columns and measures which have worked good so far, but now I'm dealing with 3-4 different tables that are related in some way, but not related enough for me to do calculated columns, and yet I need them to communicate with each other and get data. 

Is there someone I could chat with and pick their brain on best recommendation? What do you guys usually do? Would it cost a lot? Do you talk to friends for advice?

[amitchandak]

Refer :https://docs.microsoft.com/en-us/power-bi/guidance/

https://community.powerbi.com/t5/MBAS-Gallery/Microsoft-Power-BI-The-Do-s-and-Don-ts-of-Power-BI-Rel...

https://community.powerbi.com/t5/MBAS-Gallery/Microsoft-Power-BI-My-Power-BI-report-is-slow-What-sho...

https://community.powerbi.com/t5/MBAS-Gallery/Aggregation-and-composite-model-Microsoft-Power-BI-fas...

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[Anonymous]

Get this book from Marco Russo and Alberto Ferrari.

Do the modeling in SQL to end up with a star schema of 1 fact table and multiple dimension tables.

Complex DAX to make up for an unoptimized model will ALWAYS perform slower.

Remember, 95% of data models are star schemas.  The other 5% just don't realize it yet.

[powerboss]

So in other words, even though we're pulling all of the tables(100's of thousands of rows) from our vendor, we should manipulate it first on the SQL level? And then create our measures and stuff? 

It's been very convoluted for me to try to make this data work when it's in such a disorganized fashion.