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.

über Next Level Power BI – M Language Basics — Paul Turley’s SQL Server BI Blog

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

über Business Central SaaS Exporting Database Backup and Restore it on your Sql Server — Roberto Stefanetti NAV & Business Central Blog

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: I know it sounds boring and not something you need to worry about but trust me, this is important – […]

über Excel PivotTable Query Performance With Analysis Services, Power Pivot And Power BI (Revisited) — Chris Webb’s BI Blog

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 […]

über Power BIte: Dataflows vs. datasets — BI Polar