Why learn all these skills? Matthew Roche, Power BI CAT team and governance superstar, has created a principle to understand where to transform data. Pushing upstream may reduce the complexity of your DAX.
Learn what this means and why it is so important.
The source of this article was a post in LinkedIn:
The Power Query M language, commonly referred to as “M,” is a powerful data transformation and data preparation language designed specifically for Microsoft’s Power Query, an ETL (Extract, Transform, Load) tool integrated into the Power BI, Excel, and other Microsoft products.
M was developed with the primary purpose of enabling users to clean, reshape, and combine data from various sources, facilitating the process of transforming raw data into meaningful insights. By leveraging the power of M, users can create custom functions, conditional columns, and advanced data transformations that go beyond the capabilities of traditional spreadsheet applications.