Once a dataset has been shaped and structured (as covered in the previous two chapters), it probably still needs a good few modifications to make it ready for consumption. Many of these modifications are, at their heart, a selection of fairly simple yet necessary techniques that you apply to make the data cleaner and more standardized. I have chosen to group these approaches under the heading data cleansing.
The sort of things that you may be looking to do before finally loading source data into the data model normally cover a range ...
