Master Excel's Power Query, Power Pivot, and DAX to transform data, automate workflows, ... Power Pivot allows for advanced data modeling by creating relationships between tables, ...

Have you heard of Power Query in Microsoft Excel but always thought that it's only intended for Excel experts? Let me stop ...

By applying the appropriate data modeling techniques, you can minimize redundancy, improve query speed, and create a more intuitive and user-friendly data model. Power BI Star vs Snowflake Schema ...

Power BI supports up to 400GB data models (at about 10 to 20 times compression, that’s 4TB to 8TB of data in a single data model). These datasets can be IT-certified, and Microsoft Information ...

Add Power Query to this already powerful mix, and you get an even more streamlined method to extract data from different sources and transform it on the go. If you are a beginner, Power Query can ...

Data comes from all kinds of sources and Microsoft Power Query can you when you need to combine foreign data. It’s a bit easier than trying to do so in Microsoft Excel sometimes.

Load the Excel data into Power Query. The first step is to load the data into Power Query as follows: 1. Click anywhere inside the Table. 2. Click the Data tab. 3.

For Power Query to properly transform the data, you must correctly identify and specify the delimiter. For example, in our case, a less than sign (<) separates the names and the email addresses.

Continuing my series of posts on Power BI Copilot and the type of things you should be including in AI Instructions, today I ...