![]() ![]() Analysis services is managed outside of report development.In Power BI, in general the same people that are building the reports are the same people that are going to be implementing security features such as row level security, so it’s managed with report development. ![]() The way security is managed in Power BI and Tabular.Note: This size limit is the compressed data size that would be stored in Power BI or Tabular.With SSAS Tabular there is no hard limit on the data set size this is bound by the RAM on your server or Azure resources if you’re using a VM on the cloud.With Power BI Premium that does jump up to 10 GB. In the Standard Power BI versions you have a 1 GB limit for each data set.First, consider the sheer size of your data.So, why would you choose to use either Power BI vs Analysis Services Tabular? You could use Power BI to do that modeling as creating relationships and writing custom calculations in DAX is using the same engine under the covers in Power BI as Analysis Services. This shows a typical data loading and BI pattern in which we have a data warehouse and then a data/semantic model built with Analysis Services and with Power BI used for visualizations on top of that model. To begin, take a look at the image below which is a reference architecture from Microsoft. If you’ve ever asked the question, should I build a semantic model in Power BI or in Analysis Services (SSAS) Tabular, I’m here to give you some things to consider when making that decision. ![]()
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