Hook: If your model “mysteriously” changes numbers, breaks relationships, or sorts months alphabetically—blame data types. What we’ll cover: where to define types (and why), the safest order of operations across the ETL chain, Power Query vs. Model vs. Table View, special cases (DirectQuery, currency, duration), and concrete, copy-paste examples. 1) Why data types matter (and where they live) Power Query (PQ): Data shaping stage. Types here affect folding, transformations

Want faster refreshes and snappier previews? Here’s a practical, no-nonsense guide to making Power Query load much quicker using only generic patterns and examples. Check out some of our FREE templates and materials. PRACTICE MATERIAL BELOW!👇 Quick Wins Fold early, fold often: Filter and select columns as the first steps. Prune columns: Load only what you use. Reference, don’t duplicate: Reuse staged queries. Avoid row-by-row custom columns: Prefer joins, grouping, and