Abstract PowerBI Desktop is a data analytics and presentation tool. Defining data sets is very easy and usually involves creating connection string to the source data and defining objects to pull data from. Alternatively, for SQL databases we can write custom SQL script to query source data. However, if we
I often help improve the performance of a SQL Server or an application. Performance metrics in SQL Server are exposed via Dynamic Management Views (DMVs). However, DMVs only provide a view of the current state and no history. This is important as it makes it particularly difficult to draw a bigger picture of how the system is behaving over time and what problems are occurring during overnight batch processing or during peak operational times, for example when users log in to the system at 8 am or when they leave for lunch at 1 pm. To address this deficiency I have built a simple yet comprehensive SQL Server Performance Dashboard in PowerBI.