Data preparation is a fundamental part of data modelling. In this session we will explore best practices to make your data transformations:

- robust = fewer refresh failures
- leaner = smaller dataset size
- dynamic = automatically adjust to data changes
- cleaner = better data quality
- structured = easier to understand and debug

This is a hands-on session where you can follow along the step on a prepared dataset.

Best if you have a basic understand of the Power BI query editor