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Analyzing Power BI Refresh Performance with Log Analytics

Chris Webb starts a new series:

If you’re tuning refresh for a Power BI Import mode dataset one of the areas you’ll be most interested in is throughput, that is to say how quickly Power BI can read data from the data source. It can be affected by a number of different factors: how quickly the data source can return data; network latency; the efficiency of the connector you’re using; any transformations in Power Query; the number of columns in the data and their data types; the amount of other objects in the same Power BI dataset being refreshed in parallel; and so on. How do you know if any or all of these factors is a problem for you? It’s a subject that has always interested me and now that Log Analytics for Power BI datasets is GA we have a powerful tool to analyse the data, so I thought I’d do some testing and write up my findings in a series of blog posts.

In the first post, Chris gives us an overview of information available and provides one way to query it.