Monitoring memory usage of Power BI datasets is important for performance optimization and staying under capacity limits, particularly in Power BI Premium workspaces. You can use VertiPaq Analyzer, DAX Studio or Performance Analyzer in Power BI Desktop to provide insight into both the size of tables, column cardinality, and memory usage from a selection of metrics. In particular, these will help identify padded columns and unnecessary relationships, or poorly formulated DAX expressions, which could cause report latency and refresh delays.
In a structured Power Bi Course in Pune, students learn how Power BI’s in-memory technology (VertiPaq) works, how to exploit tools like DAX Studio to evaluate and shrink the size of datasets. Understanding these general principles in advance is useful for students because it helps them build efficient data models from the outset.
In practical Power Bi Classes in Pune, students get to try connecting external tools to their models, so that they can extract memory usage metrics and evaluate how best to optimize or remove or aggregate columns or tables.
Advanced Power Bi Training in Pune builds on memory monitoring for enterprise level access, referring to the use of Power BI REST APIs or access to capacity metrics in the admin portal. These will ensure that anyone tasked with using or developing large shared datasets gain relevant skills in proactive performance tuning.