As per the April 2019 update, Microsoft has introduced a data profiling capability in Power BI desktop. Data profiling helps us easily find the issues with our imported data from data sources in to Power BI.
For many of us who work in data analytics for long time, you may notice that producing great data reports and dashboards alone doesn’t always generate desired outcomes. Why? Because data reports and dashboards are usually exploratory by nature and self-service oriented. In addition, they usually don’t have rich text to explain why certain charts and data points are meaningful in what context, not mentioning the usual lack of graphical elements that make data fun and interesting to read.
Last week there were some great conversations in the Power BI Community Forums. From troubleshooting, to best practices, to step-by-step tutorials, you’ve all contributed some valuable content and made this place a great resource for fellow Power BI users around the globe. So, in the spirit of celebrating community, we thought we’d start a weekly blog post shouting out some of our top-kudoed authors, new members, and lively conversations from the previous week.
Some of the data sources have option both to import data as well as use live connection. But there is no easy method to change it once you already built your report. So you should rather carefully decide which method you’re going to use upfront. To make this decision right, it is good to know limitations of each method. Purpose of this blog post is to cover these limitations.