If someone is using Power BI connected to Azure as a front-end for data visualization.
What are some limitations?
In the past, even with smaller data sets in SQL, some charts took 25-30 seconds to render?
What I am trying to answer is at what point does the visualization take very long based on:
1. Size of the dataset
2. Number of different datasets or types queried (multiple sql + no sql databases)
3. Complexity of analysis or statistics performed (writing R code to regression & other complex statistical calculations, clustering etc)
I am trying to understand the limiations of Power BI as a front-end before deciding to develop a custom front end or use another off-the shelf BI took.
I would likely be using Power BI connected to an Azure stack (SQL server, documentDB, etc).
