We started the year with a Power BI Challenge that’s relevant to the world’s current situation. Now, we’ve wrapped up our first challenge of the year, which has, as always, delivered amazing results from our participants.
Facebook Ads data in the Power BI report is one of the most queried topics in the data visualization market. Using the Power BI, we can get maximum insights using vast amounts of data, measures, and conversion details that Facebook offers.
Do you every dream of becoming the Heavy-weight Power Query Champion of the World? Join our Power BI Dev Camp session on March 25th for a fast-paced primer on the fundamentals of the M programming language. The goal of this deep dive session is to give campers a stronger foundation for working directly with M code in the Advanced Editor when designing queries for datasets in Power BI Desktop or when designing queries for dataflows in the browser.
Have you ever asked these questions to yourself while working with multiple reports/dashboards using common datasets - “What if I modify this dataset?”, “Will this dataset modification impact any reports/dashboards?”, “Why report refresh failed?”, etc. If yes, then you are just one step away from answers to all these questions.
Power BI has a pretty good feature to show the lineage of all the reports that are published into Power BI workspace. I have not used this feature for some time but now have started using it as it gives a clear picture on the flow around a report/dashboard when published in Power BI workspace.
Today in this blog I will show few key advantages of this feature which can be beneficial for both the report developers and the report consumers, along with all the answers to the above questions.