i have requirement to consume data from data lake store and display in power BI. data size is big it may be 20 GB or 50 GB, i don't know what size will come in feature.also i cannot use Azure DW and Azure Analysis service.
now i proposed a solution i should create a tabular file(pivot table) in azure data lake store with aggregated date with all table joins in data like store
Geography Name Product-Name Salesyerar2015 Salesyerar2017 userId
i need to show two year of data in power BI report.
for month level i have 24 columns for measures. in power i use import data from data lake store.
if data size is more i suggest power BI Premium for bigger data file so it should accommodate in cache( 50 GB limitations)
Now for small data set it is work fine, i cannot able to test big files.
now i want to know when i have date level tabular file is required how i accommodate in tabular model.
also i want to know this proposed design is correct or do we have any other approach to handle this use case.
Regards, manish