This is a series of posts and exercises from a recent full-day workshop called Next Level Power BI. Check back for additional lessons and freely post your questions and feedback in the comments section after this post. Power Query is a modern data acquisition and transformation technology and it is the „Get Data“ component of Power BI and many other Microsoft tools. The query script language of Power Query is known as „M“ or the Microsoft Data Mashup language. The menu options and selections in the Power Query Editor interface build this „M“ script for you but to use Power Query at an expert level, you must understand fundamental concepts of the language. The post will step you through some essential mechanics of the language to build the necessary fundamental skills.
Business Central SaaS Exporting Database Backup and Restore it on your Sql Server Since some days, Microsoft has activated the feature for downloading a backup… 587 weitere Wörter
Back in 2016 I wrote the following blog post about changes to the way Excel 365 generated MDX queries for PivotTables connected to Analysis Services, Power Pivot/the Excel Data Model and Power BI datasets: https://blog.crossjoin.co.uk/2016/07/08/excel-2016-pivottable-mdx-changes-lead-to-big-query-performance-gains/ I know it sounds boring and not something you need to worry about but trust me, this is important – […]
In this article, I’m going to describe a technique you may wish to consider to help speed up your Power BI reports. This specific technique is designed to help speed up reports that show common period comparisons such as: 1.409 weitere Wörter
This is still one of the most common dataflows questions: what’s the difference between Power BI dataflows and Power BI datasets? For the last year I have resisted tackling this question head-on. This isn’t because it’s a bad or „dumb“ question. Just the opposite – this is a very simple question, and the simpler a […]
Und wer einen Workshop vorzieht und es nach München schafft, dürfte hier gut aufgehoben sein:
When you work on real-world projects in power BI, you would probably have different environments Like DEV, UAT, Pre-Prod and Prod. It is important for you and your audience to know what the data is coming from. 43 weitere Wörter