Is denormalization (e.g. to star/snowflake schemas) still common or advisable? I know the conventional wisdom is that it can improve performance, but how much scale does it actually get you in practice (a factor of 2? an order of magnitude?), and can it still be the right call for public cloud based workloads where it's trivial to scale vertically and relatively easy to scale horizontally?